606 Matching Annotations
  1. Feb 2022
  2. perusall.com perusall.com
    Perusall
    1
    1. chrisaldrich 23 Feb 2022
      Stay at the forefront of educational innovation

      What about a standard of care for students?

      Bragging about students not knowing how the surveillance technology works is unethical.<br><br>Students using accessibility software or open educational resources shouldn't be punished for accidentally avoiding surveillance. pic.twitter.com/Uv7fiAm0a3

      — Ian Linkletter (@Linkletter) February 22, 2022
      <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

      #annotation https://t.co/wVemEk2yao

      — Remi Kalir (@remikalir) February 23, 2022
      <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
      annotations surveillance capitalism artificial intelligence surveillance
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    perusall.com/
  3. www.udacity.com www.udacity.com
    Intro to TensorFlow for Deep Learning | Udacity
    1
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    udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
  4. www.abc.net.au www.abc.net.au
    In the 13th century, a monk and a polymath devised a way to find information. Google still uses it
    1
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    abc.net.au/news/2022-01-28/index-history-invention-made-simultaneously-800-years-ago/100690782
  5. Local file Local file
    How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers
    1
    1. chrisaldrich 08 Feb 2022
      We need to getour thoughts on paper first and improve them there, where we canlook at them. Especially complex ideas are difficult to turn into alinear text in the head alone. If we try to please the critical readerinstantly, our workflow would come to a standstill. We tend to callextremely slow writers, who always try to write as if for print,perfectionists. Even though it sounds like praise for extremeprofessionalism, it is not: A real professional would wait until it wastime for proofreading, so he or she can focus on one thing at a time.While proofreading requires more focused attention, finding the rightwords during writing requires much more floating attention.

      Proofreading while rewriting, structuring, or doing the thinking or creative parts of writing is a form of bikeshedding. It is easy to focus on the small and picayune fixes when writing, but this distracts from the more important parts of the work which really need one's attention to be successful.

      Get your ideas down on paper and only afterwards work on proofreading at the end. Switching contexts from thinking and creativity to spelling, small bits of grammar, and typography can be taxing from the perspective of trying to multi-task.

      Link: Draft #4 and using Webster's 1913 dictionary for choosing better words/verbiage as a discrete step within the rewrite.

      Linked to above: Are there other dictionaries, thesauruses, books of quotations, or individual commonplace books, waste books that can serve as resources for finding better words, phrases, or phrasing when writing? Imagine searching through Thoreau's commonplace book for finding interesting turns of phrase. Naturally searching through one's own commonplace book is a great place to start, if you're saving those sorts of things, especially from fiction.

      Link this to Robin Sloan's AI talk and using artificial intelligence and corpuses of literature to generate writing.

      bikeshedding proofreading Draft #4 Henry David Thoreau commonplace books waste books words matter phrasing writing process Webster's dictionary dictionaries books of quotations Robin Sloan artificial intelligence creative writing

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  6. beta.flim.ai beta.flim.ai
    Flim
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    beta.flim.ai/
  7. Jan 2022
  8. vimeo.com vimeo.com
    Eyeo 2017 - Robin Sloan
    1
    1. chrisaldrich 31 Jan 2022

      https://vimeo.com/232545219

      from: Eyeo Conference 2017

      Description

      Robin Sloan at Eyeo 2017 | Writing with the Machine | Language models built with recurrent neural networks are advancing the state of the art on what feels like a weekly basis; off-the-shelf code is capable of astonishing mimicry and composition. What happens, though, when we take those models off the command line and put them into an interactive writing environment? In this talk Robin presents demos of several tools, including one presented here for the first time. He discusses motivations and process, shares some technical tips, proposes a course for the future — and along the way, write at least one short story together with the audience: all of us, and the machine.

      Notes

      Robin created a corpus using If Magazine and Galaxy Magazine from the Internet Archive and used it as a writing tool. He talks about using a few other models for generating text.

      Some of the idea here is reminiscent of the way John McPhee used the 1913 Webster Dictionary for finding words (or le mot juste) for his work, as tangentially suggested in Draft #4 in The New Yorker (2013-04-22)

      Cross reference: https://hypothes.is/a/t2a9_pTQEeuNSDf16lq3qw and https://hypothes.is/a/vUG82pTOEeu6Z99lBsrRrg from https://jsomers.net/blog/dictionary

      Croatian acapella singing: klapa https://www.youtube.com/watch?v=sciwtWcfdH4

      Writing using the adjacent possible.

      Corpus building as an art [~37:00]

      Forgetting what one trained their model on and then seeing the unexpected come out of it. This is similar to Luhmann's use of the zettelkasten as a serendipitous writing partner.

      Open questions

      How might we use information theory to do this more easily?

      What does a person or machine's "hand" look like in the long term with these tools?

      Can we use corpus linguistics in reverse for this?

      What sources would you use to train your model?

      References:

      • Andrej Karpathy. 2015. "The Unreasonable Effectiveness of Recurrent Neural Networks"
      • Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al. "Generating sentences from a continuous space." 2015. arXiv: 1511.06349
      • Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth. 2017. "A Hybrid Convolutional Variational Autoencoder for Text generation." arXiv:1702.02390
      • Soroush Mehri, et al. 2017. "SampleRNN: An Unconditional End-to-End Neural Audio Generation Model." arXiv:1612.07837 applies neural networks to sound and sound production
      writing tools for thought artificial intelligence neural networks Andrej Karpathy Eyeo Festival Robin Sloan corpus linguistics Webster's dictionary John McPhee Draft #4 2017 Croatia acapella klapa throat singing Milman Parry adjacent possible le mot juste
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    vimeo.com/232545219
  9. www.theatlantic.com www.theatlantic.com
    The Hut Where the Internet Began
    1
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    theatlantic.com/technology/archive/2013/07/the-hut-where-the-internet-began/277551/
  10. Dec 2021
  11. www.theguardian.com www.theguardian.com
    For truly ethical AI, its research must be independent from big tech | Timnit Gebru
    1
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    theguardian.com/commentisfree/2021/dec/06/google-silicon-valley-ai-timnit-gebru
  12. Nov 2021
  13. arxiv.org arxiv.org
    Can I use this publicly available dataset to build commercial AI software? Most likely not
    1
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    arxiv.org/abs/2111.02374
  14. Oct 2021
  15. www.theguardian.com www.theguardian.com
    Why people believe Covid conspiracy theories: could folklore hold the answer?
    1
    1. lucyparfitt16 26 Oct 2021

      Why people believe Covid conspiracy theories: Could folklore hold the answer? | Coronavirus | The Guardian. (n.d.). Retrieved October 26, 2021, from https://www.theguardian.com/world/ng-interactive/2021/oct/26/why-people-believe-covid-conspiracy-theories-could-folklore-hold-the-answer

      is:news lang:en COVID-19 conspiracy theory AI artificial intelligence folklore misinformation witchcraft modeling social media technology anti-vaccine vaccine Bill Gates radicalization computing
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    theguardian.com/world/ng-interactive/2021/oct/26/why-people-believe-covid-conspiracy-theories-could-folklore-hold-the-answer
  16. www.psychologytoday.com www.psychologytoday.com
    Our Unnatural Fascination With All Things Natural
    1
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    psychologytoday.com/ca/blog/the-gravity-weight/202109/our-unnatural-fascination-all-things-natural
  17. www.miamiherald.com www.miamiherald.com
    Florida changed its COVID-19 data, creating an ‘artificial decline’ in recent deaths
    1
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    miamiherald.com/news/coronavirus/article253796898.html
  18. Sep 2021
  19. allevents.in allevents.in
    Guest Speaker Event: “How Humans Judge Machines” with Prof. Cesar Hidalgo
    1
    1. chrisaldrich 29 Sep 2021

      https://allevents.in/online/guest-speaker-event-how-humans-judge-machines-with-prof-cesar-hidalgo/10000171520310867

      I meant to join this last week, but didn't manage. Now I'll have to watch the video after the fact:

      https://teams.microsoft.com/l/meetup-join/19%3ameeting_MzVjYTc4MWItNGExNS00ZTVhLWFlYTAtMjdhOGE0OTY3MjQy%40thread.v2/0?context=%7b%22Tid%22%3a%22fbd909df-ea69-4788-a554-f24b7854ad03%22%2c%22Oid%22%3a%22a5f793d9-3a63-429f-baa0-51e6e04deb79%22%2c%22IsBroadcastMeeting%22%3atrue%7d&btype=a&role=a

      events artificial intelligence César Hidalgo want to watch
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    allevents.in/online/guest-speaker-event-how-humans-judge-machines-with-prof-cesar-hidalgo/10000171520310867
  20. Aug 2021
  21. bylinetimes.com bylinetimes.com
    A ‘Brainwashed Death Cult’: The Gamification of Conspiracy – Byline Times
    1
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    bylinetimes.com/2021/08/10/a-brainwashed-death-cult-the-gamification-of-conspiracy/
  22. www.beckershospitalreview.com www.beckershospitalreview.com
    27 ways to positively affect healthcare
    1
    1. indoshade 06 Aug 2021
      Provide more opportunities for new talent. Because healthcare has been relatively solid and stagnant in what it does, we're losing out on some of the new talent that comes out — who are developing artificial intelligence, who are working at high-tech firms — and those firms can pay significantly higher than hospitals for those talents. We have to find a way to provide some opportunities for that and apply those technologies to make improvements in healthcare.

      Intestesing. Mr. Roach thinks healthcare is not doing enough to attract new types of talent (AI and emerging tech) into healthcare. We seem to be losing this talent to the technology sector.

      I would agree with this point. Why work for healthcare with all of its massive demands and HIPPA and lack of people knowing what you are even building. Instead, you can go into tech, have a better quality of life, get paid so much more, and have the possibility of exiting due to a buyout from the healthcare industry.

      Healthcare Technology Artificial Intelligence
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    beckershospitalreview.com/hospital-management-administration/27-ways-to-positively-affect-healthcare.html
  23. muse.jhu.edu muse.jhu.edu
    Project MUSE - The Future of Platform Power: Making Middleware Work
    1
    1. chrisaldrich 01 Aug 2021
      Building on platforms' stores of user-generated content, competing middleware services could offer feeds curated according to alternate ranking, labeling, or content-moderation rules.

      Already I can see too many companies relying on artificial intelligence to sort and filter this material and it has the ability to cause even worse nth degree level problems.

      Allowing the end user to easily control the content curation and filtering will be absolutely necessary, and even then, customer desire to do this will likely loose out to the automaticity of AI. Customer laziness will likely win the day on this, so the design around it must be robust.

      surveillance capitalism artificial intelligence filtering content curation
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    muse.jhu.edu/article/797795
  24. Jul 2021
  25. www.newscientist.com www.newscientist.com
    Artificial intelligence has been of little use for diagnosing covid-19
    1
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    newscientist.com/article/mg25033350-100-artificial-intelligence-has-been-of-little-use-for-diagnosing-covid-19/
  26. arxiv.org arxiv.org
    1911.01547.pdf
    1
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    arxiv.org/pdf/1911.01547
  27. arxiv.org arxiv.org
    Abstraction and Analogy-Making in Artificial Intelligence
    1
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    arxiv.org/abs/2102.10717
  28. www.quantamagazine.org www.quantamagazine.org
    The Computer Scientist Training AI to Think With Analogies | Quanta Magazine
    1
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    quantamagazine.org/melanie-mitchell-trains-ai-to-think-with-analogies-20210714/
  29. twitter.com twitter.com
    Facebook AI on Twitter
    1
    1. Marlene_Wulf 19 Jul 2021

      Facebook AI. (2021, July 16). We’ve built and open-sourced BlenderBot 2.0, the first #chatbot that can store and access long-term memory, search the internet for timely information, and converse intelligently on nearly any topic. It’s a significant advancement in conversational AI. https://t.co/H17Dk6m1Vx https://t.co/0BC5oQMEck [Tweet]. @facebookai. https://twitter.com/facebookai/status/1416029884179271684

      is:twitter lang:en facebook AI BlenderBot 2.0 chatbot memory information conversation conversational AI artificial intelligence
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    twitter.com/facebookai/status/1416029884179271684
  30. Jun 2021
  31. www.wired.com www.wired.com
    AI Could Soon Write Code Based on Ordinary Language
    1
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    wired.com/story/ai-write-code-ordinary-language
  32. www.quantamagazine.org www.quantamagazine.org
    How Claude Shannon Invented the Future
    2
    1. javierweiss 15 Jun 2021
      t hadn’t learned sort of the concept of a paddle or the concept of a ball. It only learned about patterns of pixels.

      Cognition and perception are closely related in humans, as the theory of embodied cognition has shown. But until the concept of embodied cognition gained traction, we had developed a pretty intellectual concept of cognition: as something located in our brains, drained of emotions, utterly rational, deterministic, logical, and so on. This is still the concept of intelligence that rules research in AI.

      Cognition Perception Artificial Intelligence
    2. javierweiss 15 Jun 2021
      the original goal at least, was to have a machine that could be like a human, in that the machine could do many tasks and could learn something in one domain, like if I learned how to play checkers maybe that would help me learn better how to play chess or other similar games, or even that I could use things that I’d learned in chess in other areas of life, that we sort of have this ability to generalize the things that we know or the things that we’ve learned and apply it to many different kinds of situations. But this is something that’s eluded AI systems for its entire history.

      The truth is we do not need to have computers to excel in the things we do best, but to complement us. We shall bet on cognitive extension instead of trying to re-create human intelligence --which is a legitimate area of research, but computer scientists should leave this to cognitive science and neuroscience.

      Artificial Intelligence Extended Cognition
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    quantamagazine.org/how-claude-shannons-information-theory-invented-the-future-20201222/
  33. www.theatlantic.com www.theatlantic.com
    Is Google Making Us Stupid?
    2
    1. chrisaldrich 09 Jun 2021
      Last year, Page told a convention of scientists that Google is “really trying to build artificial intelligence and to do it on a large scale.”

      What if they're not? What if they're building an advertising machine to manipulate us into giving them all our money?

      From an investor perspective, the artificial answer certainly seems sexy while using some clever legerdemain to keep the public from seeing what's really going on behind the curtain?

      artificial intelligence Google AdTech misdirection
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    theatlantic.com/magazine/archive/2008/07/is-google-making-us-stupid/306868/
  34. May 2021
  35. iris.ai iris.ai
    Home – Iris.ai - Your Science Assistant
    1
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    iris.ai/
  36. www.semanticscholar.org www.semanticscholar.org
    Semantic Scholar - An academic search engine for scientific articles
    1
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    semanticscholar.org/
  37. www.jstor.org www.jstor.org
    Text Analyzer Beta, from JSTOR Labs
    1
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    jstor.org/analyze/
  38. arxiv.org arxiv.org
    Emergence in artificial life
    1
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    arxiv.org/abs/2105.03216
  39. link.springer.com link.springer.com
    Turing: The Great Unknown
    1
    1. chrisaldrich 08 May 2021
      Turing was an exceptional mathematician with a peculiar and fascinating personality and yet he remains largely unknown. In fact, he might be considered the father of the von Neumann architecture computer and the pioneer of Artificial Intelligence. And all thanks to his machines; both those that Church called “Turing machines” and the a-, c-, o-, unorganized- and p-machines, which gave rise to evolutionary computations and genetic programming as well as connectionism and learning. This paper looks at all of these and at why he is such an often overlooked and misunderstood figure.
      want to read Alan Turing artificial intelligence biography Turing machines history
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    link.springer.com/article/10.1007/s10699-019-09596-6
  40. thegradient.pub thegradient.pub
    Introduction to Artificial Life for People who Like AI
    1
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    thegradient.pub/an-introduction-to-artificial-life-for-people-who-like-ai/
  41. twitter.com twitter.com
    Full Fact on Twitter
    1
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    twitter.com/FullFact/status/1330922811448315911
  42. Apr 2021
  43. boardgamegeek.com boardgamegeek.com
    Europhile reviews: A disappointment. | BoardGameGeek
    1
    1. TylerRick 13 Apr 2021
      There is a tendency in short luck-heavy games to require you to play multiple rounds in one sitting, to balance the scores. This is one such game. This multiple-rounds "mechanic" feels like an artificial fix for the problem of luck. Saboteur 1 and 2 advise the same thing because the different roles in the game are not balanced. ("Oh, well. I had the bad luck to draw the Profiteer character this time. Maybe I'll I'll draw a more useful character in round 2.") This doesn't change the fact that you are really playing a series of short unbalanced games. Scores will probably even out... statistically speaking. The Lost Cities card game tries to deal with the luck-problem in the same way.

      possibly rename: games: luck: managing/mitigating the luck to games: luck: dealing with/mitigating the luck problem

      games: luck: managing/mitigating the luck annotation meta: may need new tag artificial fix treating/address the symptom rather than the underlying problem
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    boardgamegeek.com/thread/878971/europhile-reviews-disappointment
  44. med.stanford.edu med.stanford.edu
    Researchers say use of artificial intelligence in medicine raises ethical questions
    1
    1. michael_rowe 07 Apr 2021
      The insertion of an algorithm’s predictions into the patient-physician relationship also introduces a third party, turning the relationship into one between the patient and the health care system. It also means significant changes in terms of a patient’s expectation of confidentiality. “Once machine-learning-based decision support is integrated into clinical care, withholding information from electronic records will become increasingly difficult, since patients whose data aren’t recorded can’t benefit from machine-learning analyses,” the authors wrote.

      There is some work being done on federated learning, where the algorithm works on decentralised data that stays in place with the patient and the ML model is brought to the patient so that their data remains private.

      machine learning federated learning artificial intellgience data analysis
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    med.stanford.edu/news/all-news/2018/03/researchers-say-use-of-ai-in-medicine-raises-ethical-questions.html
  45. Mar 2021
  46. www.cam.ac.uk www.cam.ac.uk
    Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use
    1
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    cam.ac.uk/research/news/machine-learning-models-for-diagnosing-covid-19-are-not-yet-suitable-for-clinical-use
  47. www.bbc.com www.bbc.com
    Coronavirus: How the world of work may change forever
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    bbc.com/worklife/article/20201023-coronavirus-how-will-the-pandemic-change-the-way-we-work
  48. journal.disruptivemedia.org.uk journal.disruptivemedia.org.uk
    Web Annotation as Conversation and Interruption – The Disrupted Journal of Media Practice
    1
    1. chrisaldrich 15 Mar 2021
      In this respect, we join Fitzpatrick (2011) in exploring “the extent to which the means of media production and distribution are undergoing a process of radical democratization in the Web 2.0 era, and a desire to test the limits of that democratization”

      Something about this is reminiscent of WordPress' mission to democratize publishing. We can also compare it to Facebook whose (stated) mission is to connect people, while it's actual mission is to make money by seemingly radicalizing people to the extremes of our political spectrum.

      This highlights the fact that while many may look at content moderation on platforms like Facebook as removing their voices or deplatforming them in the case of people like Donald J. Trump or Alex Jones as an anti-democratic move. In fact it is not. Because of Facebooks active move to accelerate extreme ideas by pushing them algorithmically, they are actively be un-democratic. Democratic behavior on Facebook would look like one voice, one account and reach only commensurate with that person's standing in real life. Instead, the algorithmic timeline gives far outsized influence and reach to some of the most extreme voices on the platform. This is patently un-democratic.

      democracy democratize publishing social media reach algorithmic feeds artificial intelligence publishing
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    journal.disruptivemedia.org.uk/web-annotation-as-conversation-and-interruption/
  49. www.technologyreview.com www.technologyreview.com
    He got Facebook hooked on AI. Now he can't fix its misinformation addiction
    5
    2. chrisaldrich 14 Mar 2021
      Meanwhile, the algorithms that recommend this content still work to maximize engagement. This means every toxic post that escapes the content-moderation filters will continue to be pushed higher up the news feed and promoted to reach a larger audience.

      This and the prior note are also underpinned by the fact that only 10% of people are going to be responsible for the majority of posts, so if you can filter out the velocity that accrues to these people, you can effectively dampen down the crazy.

      artificial intelligence content moderation
    3. chrisaldrich 14 Mar 2021
      In his New York Times profile, Schroepfer named these limitations of the company’s content-moderation strategy. “Every time Mr. Schroepfer and his more than 150 engineering specialists create A.I. solutions that flag and squelch noxious material, new and dubious posts that the A.I. systems have never seen before pop up—and are thus not caught,” wrote the Times. “It’s never going to go to zero,” Schroepfer told the publication.

      The one thing many of these types of noxious content WILL have in common are the people at the fringes who are regularly promoting it. Why not latch onto that as a means of filtering?

      artificial intelligence content moderation
    4. chrisaldrich 14 Mar 2021
      But anything that reduced engagement, even for reasons such as not exacerbating someone’s depression, led to a lot of hemming and hawing among leadership. With their performance reviews and salaries tied to the successful completion of projects, employees quickly learned to drop those that received pushback and continue working on those dictated from the top down.

      If the company can't help regulate itself using some sort of moral compass, it's imperative that government or other outside regulators should.

      ethics artificial intelligence Facebook
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    technologyreview.com/2021/03/11/1020600/facebook-responsible-ai-misinformation/
  50. positivus.io positivus.io
    PositivUS | Positive Communication
    1
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    positivus.io/
  51. www.pnas.org www.pnas.org
    Using artificial intelligence to improve COVID-19 rapid diagnostic test result interpretation
    1
    1. david_gru 08 Mar 2021

      Mendels, D.-A., Dortet, L., Emeraud, C., Oueslati, S., Girlich, D., Ronat, J.-B., Bernabeu, S., Bahi, S., Atkinson, G. J. H., & Naas, T. (2021). Using artificial intelligence to improve COVID-19 rapid diagnostic test result interpretation. Proceedings of the National Academy of Sciences, 118(12). https://doi.org/10.1073/pnas.2019893118

      is:article lang:en COVID-19 artificial intelligence serological rapid diagnostic interpretation subjective application machine learning confidence
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    pnas.org/content/118/12/e2019893118
  52. trailblazer.to trailblazer.to
    Trailblazer
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    trailblazer.to/2.1/tutorials/activity.html
  53. www.nature.com www.nature.com
    Ranking the effectiveness of worldwide COVID-19 government interventions
    1
    1. jasminehollingworth 01 Mar 2021

      Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4(12), 1303–1312. https://doi.org/10.1038/s41562-020-01009-0

      lang:en is:article COVID-19 effectiveness worldwide global pandemic government intervention rank mitigate future preparedness impact model statistical inference artificial intelligence virus spread
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    nature.com/articles/s41562-020-01009-0
  54. Feb 2021
  55. www.youtube.com www.youtube.com
    The Thinking Machine (Artificial Intelligence in the 1960s)
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    youtube.com/watch
  56. psychclassics.yorku.ca psychclassics.yorku.ca
    Classics in the History of Psychology -- Harlow (1958)
    1
    1. Modred1 19 Feb 2021
      The result was a mother, soft, warm, and tender, a mother with infinite patience, a mother available twenty-four hours a day, a mother that never scolded her infant and never struck or bit her baby in anger. Furthermore, we designed a mother-machine with maximal maintenance efficiency since failure of any system or function could be resolved by the simple substitution of black boxes and new component parts. It is our opinion that we engineered a very superior monkey mother, although this position is not held universally by the monkey fathers.

      Finding the importance the monkeys senses were to thriving the development of this surrogate mother figure was able to demonstrate that it was more than just the need for milk that the infant monkeys craved.

      Artificial comfort
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    psychclassics.yorku.ca/Harlow/love.htm
  57. psyarxiv.com psyarxiv.com
    News from Artificial Intelligence is Believed Less
    1
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  58. Jan 2021
  59. covid-19.iza.org covid-19.iza.org
    COVID-19 and the Labor Market
    1
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    covid-19.iza.org/publications/dp13110/
  60. Dec 2020
  61. globalfintechseries.com globalfintechseries.com
    Blue J Launches Free Tools to Help Determine COVID-19 Relief Eligibility
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  62. Nov 2020
  63. img1.wsimg.com img1.wsimg.com
    1c6q2kc4v_50335.pdf
    1
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    img1.wsimg.com/blobby/go/3d82daa4-97fe-4096-9c6b-376b92c619de/downloads/MaliciousUseofAI.pdf
  64. www.theatlantic.com www.theatlantic.com
    As We May Think
    1
    1. jessems 26 Nov 2020
      The real heart of the matter of selection, however, goes deeper than a lag in the adoption of mechanisms by libraries, or a lack of development of devices for their use. Our ineptitude in getting at the record is largely caused by the artificiality of systems of indexing. When data of any sort are placed in storage, they are filed alphabetically or numerically, and information is found (when it is) by tracing it down from subclass to subclass. It can be in only one place, unless duplicates are used; one has to have rules as to which path will locate it, and the rules are cumbersome. Having found one item, moreover, one has to emerge from the system and re-enter on a new path.

      Bush emphasises the importance of retrieval in the storage of information. He talks about technical limitations, but in this paragraph he stresses that retrieval is made more difficult by the "artificiality of systems of indexing", in other words, our default file-cabinet metaphor for storing information.

      Information in such a hierarchical architecture is found by descending down into the hierarchy, and back up again. Moreover, the information we're looking for can only be in one place at a time (unless we introduce duplicates).

      Having found our item of interest, we need to ascend back up the hierarchy to make our next descent.

      Roam Artificial Systems of Indexing Retrieval Storage
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    theatlantic.com/magazine/archive/1945/07/as-we-may-think/303881/
  65. medium.com medium.com
    Unfortunately, as I can see you know not much about Svelte and most part of the article shows that.
    1
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    medium.com/@paulmaly/unfortunately-as-i-can-see-you-know-not-much-about-svelte-and-most-part-of-the-article-shows-that-212d41c8392
  66. www.kickstarter.com www.kickstarter.com
    Mini Express 🚂 A century of railroad expansion in 60 mins⏱️
    1
    1. TylerRick 20 Nov 2020
      I'm still calling this v1.00 as this is what will be included in the first print run.

      There seems to be an artificial pressure and a false assumption that the version that gets printed and included in the box be the "magic number" 1.00.

      But I think there is absolutely nothing bad or to be ashamed of to have the version number printed in the rule book be 1.47 or even 2.0. (Or, of course, you could just not print it at all.) It's just being transparent/honest about how many versions/revisions you've made. 

      artificial pressure false assumptions fallacy magic values too much ceremony/bureaucracy focused too much on the wrong thing too much importance placed on something
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    kickstarter.com/projects/moaideas/mini-express-a-century-of-railroad-expansion-in-60-mins
  67. Oct 2020
  68. medium.com medium.com
    How to fix nasty circular dependency issues once and for all in JavaScript & TypeScript
    1
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    medium.com/visual-development/how-to-fix-nasty-circular-dependency-issues-once-and-for-all-in-javascript-typescript-a04c987cf0de
  69. pairagraph.com pairagraph.com
    Is Technology Actually Making Things Better? – Pairagraph
    1
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    pairagraph.com/dialogue/354c72095d2f42dab92bf42726d785ff/2
  70. medium.com medium.com
    The Difficulty of “Feature Parity”
    1
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    medium.com/all-things-product-management/the-difficulty-of-feature-parity-9dafa4bc0b16
  71. github.com github.com
    Constants in markup by Rich-Harris · Pull Request #33 · sveltejs/rfcs
    1
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    github.com/sveltejs/rfcs/pull/33
  72. itp.nyu.edu itp.nyu.edu
    The Evolving Exhibition of Us: A Decade of Sharing Pictures Online : Adjacent Issue 6
    1
    1. chrisaldrich 10 Oct 2020
      What if you could use AI to control the content in your feed? Dialing up or down whatever is most useful to you. If I’m on a budget, maybe I don’t want to see photos of friends on extravagant vacations. Or, if I’m trying to pay more attention to my health, encourage me with lots of salads and exercise photos. If I recently broke up with somebody, happy couple photos probably aren’t going to help in the healing process. Why can’t I have control over it all, without having to unfollow anyone. Or, opening endless accounts to separate feeds by topic. And if I want to risk seeing everything, or spend a week replacing my usual feed with images from a different culture, country, or belief system, couldn’t I do that, too? 

      Some great blue sky ideas here.

      photo posts artificial intelligence Instagram
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  73. www.researchgate.net www.researchgate.net
    (PDF) Walter Pitts
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    researchgate.net/publication/12512396_Walter_Pitts
  74. www.theatlantic.com www.theatlantic.com
    The Supply of Disinformation Will Soon Be Infinite
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    theatlantic.com/ideas/archive/2020/09/future-propaganda-will-be-computer-generated/616400/
  75. Sep 2020
  76. www.plymouth.edu www.plymouth.edu
    Biology 2e
    1
    1. zt5 25 Sep 2020
      synthesize

      To synthesize in definition is create something chemically. This means that if out of 118 elements, 20 of those are man-made via a nuclear reactor and/or a particle accelerator. These elements are unstable because they are built upon fusing an Atom's nucleus with more proton's than it may usually have which causes the stability to become dangerously chaotic as it is not natural for the element. This is the building block for the Atomic Bombs creation.

      Man-made Artificial Nuclear Nuclear Reactor Particle Accelerator
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    plymouth.edu/courses/pluginfile.php/1759142/mod_resource/content/1/Biology 2e 2.1-2.3.pdf
  77. github.com github.com
    sveltejs/rfcs
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    github.com/sveltejs/rfcs/blob/local-styles/text/0000-local-styles.md
  78. www.newscientist.com www.newscientist.com
    AI can edit video in real time to sync new audio to people's lips
    1
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    newscientist.com/article/2254326-ai-can-edit-video-in-real-time-to-sync-new-audio-to-peoples-lips/
  79. psyarxiv.com psyarxiv.com
    Unifying recommendation and active learning for information filtering and recommender systems
    1
    1. katietaylor_99 07 Sep 2020

      Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.

      is:preprint lang:en active learning information filtering recommender system algorithms Internet AI artificial intelligence machine learning predictive accuracy recommendation accuracy exploration-exploitation tradeoff parameterized model cognitive science computer science experimental approach
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  80. Aug 2020
  81. pubs.acs.org pubs.acs.org
    Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath
    1
    1. ErikStuchly 27 Aug 2020

      Shan, B., Broza, Y. Y., Li, W., Wang, Y., Wu, S., Liu, Z., Wang, J., Gui, S., Wang, L., Zhang, Z., Liu, W., Zhou, S., Jin, W., Zhang, Q., Hu, D., Lin, L., Zhang, Q., Li, W., Wang, J., … Haick, H. (2020). Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath. ACS Nano. https://doi.org/10.1021/acsnano.0c05657

      is:article lang:en COVID-19 multiplex network nanomaterial array detection exhalation droplet epidemiology biomarker clinical trial sampling accuracy differentiation artificial intelligence technology
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    pubs.acs.org/doi/10.1021/acsnano.0c05657
  82. covid-19.iza.org covid-19.iza.org
    COVID-19 and the Labor Market
    1
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    covid-19.iza.org/publications/dp13491/
  83. Jul 2020
  84. www.youtube.com www.youtube.com
    Evidence: The Use and Misuse of Data Opening Keynote
    1
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  85. fivethirtyeight.com fivethirtyeight.com
    Why Scientists Think The Novel Coronavirus Developed Naturally — Not In A Chinese Lab
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    fivethirtyeight.com/features/why-scientists-think-the-novel-coronavirus-developed-naturally-not-in-a-chinese-lab/
  86. www.youtube.com www.youtube.com
    virtual MLSS 2020 (Opening Remarks)
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  87. osf.io osf.io
    Applications of artificial intelligence technologies on mental health research during COVID-19
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    osf.io/preprints/socarxiv/w6c9b/
  88. Jun 2020
  89. jalammar.github.io jalammar.github.io
    The Illustrated Transformer
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    jalammar.github.io/illustrated-transformer/
  90. jalammar.github.io jalammar.github.io
    Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
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    jalammar.github.io/visualizing-neural-machine-translation-mechanics-of-seq2seq-models-with-attention/
  91. karpathy.github.io karpathy.github.io
    The Unreasonable Effectiveness of Recurrent Neural Networks
    3
    1. thesofakillers 23 Jun 2020
      it seems that word-level models work better than character-level models

      Interesting, if you think about it, both when we as humans read and write, we think in terms of words or even phrases, rather than characters. Unless we're unsure how to spell something, the characters are a secondary thought. I wonder if this is at all related to the fact that word-level models seem to work better than character-level models.

      artificial intelligence
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    karpathy.github.io/2015/05/21/rnn-effectiveness/
  92. colah.github.io colah.github.io
    Understanding LSTM Networks -- colah's blog
    2
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    colah.github.io/posts/2015-08-Understanding-LSTMs/
  93. psyarxiv.com psyarxiv.com
    Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools
    1
    1. edampf 19 Jun 2020

      Kozyreva, A., Lewandowsky, S., & Hertwig, R. (2019, December 4). Citizens Versus the Internet: Confronting Digital Challenges With Cognitive Tools. https://doi.org/10.31234/osf.io/ky4x8

      is:preprint lang:en algorithm AI artificial intelligence attention economy behavioral policy boosting choice architecture cognitive tools decision aid decision autonomy digital disinformation misinformation fake news internet nudging online behavior online manipulation reasoning self-nudging technocognition
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  94. singularityhub.com singularityhub.com
    Robots to the Rescue: How They Can Help During Coronavirus (and Future Pandemics)
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    singularityhub.com/2020/04/01/robots-to-the-rescue-how-they-can-help-during-coronavirus-and-future-pandemics/
  95. www.wired.com www.wired.com
    AI-Powered Biotech Can Help Deploy a Vaccine In Record Time
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    wired.com/story/opinion-ai-powered-biotech-can-help-deploy-a-vaccine-in-record-time/
  96. www.metascience2019.org www.metascience2019.org
    Yang Yang: The Replicability of Scientific Findings Using Human and Machine Intelligence (Video)
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    metascience2019.org/presentations/yang-yang/
  97. www.pnas.org www.pnas.org
    Estimating the deep replicability of scientific findings using human and artificial intelligence
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    pnas.org/content/117/20/10762
  98. May 2020
  99. www.healtheuropa.eu www.healtheuropa.eu
    How Artificial Intelligence can revolutionise healthcare
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    healtheuropa.eu/how-artificial-intelligence-can-revolutionise-healthcare/92824/
  100. psyarxiv.com psyarxiv.com
    Tutorial: Applying Machine Learning in Behavioral Research
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    psyarxiv.com/9w6a3/
  101. doi.org doi.org
    https://doi.org/10.1101/2020.04.12.20062661
    1
    1. Marlene_Wulf 29 May 2020

      Mei, X., Lee, H.-C., Diao, K., Huang, M., Lin, B., Liu, C., Xie, Z., Ma, Y., Robson, P. M., Chung, M., Bernheim, A., Mani, V., Calcagno, C., Li, K., Li, S., Shan, H., Lv, J., Zhao, T., Xia, J., … Yang, Y. (2020). Artificial intelligence for rapid identification of the coronavirus disease 2019 (COVID-19). MedRxiv, 2020.04.12.20062661. https://doi.org/10.1101/2020.04.12.20062661

      is:preprint lang:en COVID-19 artificial intelligence rapid identification PCR testing alternative method diagnosis accuracy
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    doi.org/10.1101/2020.04.12.20062661
  102. www.thelancet.com www.thelancet.com
    Artificial intelligence and the future of global health
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    thelancet.com/journals/lancet/article/PIIS0140-6736(20)30226-9/fulltext
  103. psyarxiv.com psyarxiv.com
    Sharing task load with artificial – yet human-like – co-actors
    1
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    psyarxiv.com/2am8y/
  104. www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
    Morphine induces changes in the gut microbiome and metabolome in a morphine dependence model
    1
    1. Drugs_and_Ethics 02 May 2020
      Results reveal a significant shift in the gut microbiome and metabolome within one day following morphine treatment compared to that observed after placebo. Morphine-induced gut microbial dysbiosis exhibited distinct characteristic signatures, including significant increase in communities associated with pathogenic function, decrease in communities associated with stress tolerance and significant impairment in bile acids and morphine-3-glucuronide/morphine biotransformation in the gut.

      Unsurprisingly, various substances appear to disrupt the microbiome; artificial sweeteners are not unique. Given that I don't worry about opioids, I probably shouldn't worry about sweeteners.

      However, opioids are known for causing constipation. That is to say, they have a clear effect on digestion. Perhaps I should worry about opioids rather than not worry about sweeteners.

      artificial sweeteners microbiome opioid
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    ncbi.nlm.nih.gov/pmc/articles/PMC5827657/
  105. Apr 2020
  106. www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
    Sucralose Affects Glycemic and Hormonal Responses to an Oral Glucose Load
    1
    1. Drugs_and_Ethics 30 Apr 2020
      Although it has been proposed that NNS do not affect glycemia (3), data from several recent studies suggest that NNS are not physiologically inert. First, it has been demonstrated that the gastrointestinal tract (4,5) and the pancreas (6,7) can detect sugars through taste receptors and transduction mechanisms that are similar to those indentified in taste cells in the mouth. Second, NNS-induced activation of gut sweet taste receptors in isolated duodenal L cells and pancreatic β-cells triggers the secretion of glucagon-like peptide 1 (GLP-1) (4,5) and insulin (6–9), respectively. Third, data from studies conducted in animal models demonstrate that NNS interact with sweet taste receptors expressed in enteroendocrine cells to increase both active and passive intestinal glucose absorption by upregulating the expression of sodium-dependent glucose transporter isoform 1 (5,10,11) and increasing the translocation of GLUT2 to the apical membrane of intestinal epithelia (12).

      This supports my previous assertion that the effects of artificial sweeteners on the microbiome are taste-mediated. However, I did not predict the intestinal taste receptors. That means that my previous way to falsify the claim, such as delivery by oral gavage, is no longer adequate. Nonetheless, interesting things could be learned from such tests.

      artificial sweeteners diet
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    ncbi.nlm.nih.gov/pmc/articles/PMC3747933/
  107. academic.oup.com academic.oup.com
    Effects of Sweeteners on the Gut Microbiota: A Review of Experimental Studies and Clinical Trials
    1
    1. Drugs_and_Ethics 28 Apr 2020
      These variations were related to inflammation in the host

      In which direction? This statement makes me wonder if inflammation caused the changes in the microbiome.

      It seems possible that the sweetness itself is the ultimate cause. To test this, a study using oral gavage. It's easily plausible that the flavor alerts dietary patterns (I believe humans eat more calories in response to sweeteners, will need to check on source). Alternatively, direct effects on the brain, and downstream effects on the body, is also not out of the question.

      The reason I suspect taste-mediated effects is that it seems unlikely that so many completely unrelated sweeteners would have such similar effects. However, one might might expect more similar results than those found if it were the case (or the dose is so high that the taste changes for some, e.g. saccharin).

      diet artificial sweeteners hypothesis
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    academic.oup.com/advances/article/10/suppl_1/S31/5307224
  108. doi.org doi.org
    COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms
    1
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    doi.org/10.1101/2020.04.08.20057679
  109. news.stanford.edu news.stanford.edu
    Stanford virtual conference to focus on COVID‑19 and artificial intelligence | Stanford News
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    news.stanford.edu/2020/03/20/stanford-virtual-conference-focus-covid-19-artificial-intelligence/
  110. onlinelibrary.wiley.com onlinelibrary.wiley.com
    Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention
    1
    1. Marlene_Wulf 23 Apr 2020

      Abdulla, A., Wang, B., Qian, F., Kee, T., Blasiak, A., Ong, Y. H., Hooi, L., Parekh, F., Soriano, R., Olinger, G. G., Keppo, J., Hardesty, C. L., Chow, E. K., Ho, D., & Ding, X. (n.d.). Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention. Advanced Therapeutics, n/a(n/a), 2000034. https://doi.org/10.1002/adtp.202000034

      is:article lang:en COVID-19 artificial intelligence therapy development intervention combination digital medicine infectious disease
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    onlinelibrary.wiley.com/doi/10.1002/adtp.202000034
  111. hackernoon.com hackernoon.com
    AI in Five, Fifty and Five Hundred Years — Part One | Hacker Noon
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    hackernoon.com/ai-in-five-fifty-and-five-hundred-years-part-one-e630058b547f
  112. Dec 2019
  113. collect.readwriterespond.com collect.readwriterespond.com
    📑 Secrets of the Edu-Twitter Influencers | Read Write Collect
    1
    1. chrisaldrich 04 Dec 2019
      Alexander Samuel reflects on tagging and its origins as a backbone to the social web. Along with RSS, tags allowed users to connect and collate content using such tools as feed readers. This all changed with the advent of social media and the algorithmically curated news feed.

      Tags were used for discovery of specific types of content. Who needs that now that our new overlords of artificial intelligence and algorithmic feeds can tell us what we want to see?!

      Of course we still need tags!!! How are you going to know serendipitously that you need more poetry in your life until you run into the tag on a service like IndieWeb.xyz? An algorithmic feed is unlikely to notice--or at least in my decade of living with them I've yet to run into poetry in one.

      tags algorithms algorithmic feeds artificial intelligence social media
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    collect.readwriterespond.com/📺-videodrome/
  114. Aug 2019
  115. becominghuman.ai becominghuman.ai
    Making a Simple Neural Network
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    becominghuman.ai/making-a-simple-neural-network-2ea1de81ec20
  116. pt.wikipedia.org pt.wikipedia.org
    Aprendizado de máquina – Wikipédia, a enciclopédia livre
    1
    1. Alexandre_Rosas 30 Aug 2019
      Em 2015, o serviço de streaming de música Spotify criou a playlist chamada Descobertas da Semana, que funciona como uma curadoria digital. O algoritmo responsável por esta playlist utiliza técnicas de Filtragem Colaborativa, Processamento de Linguagem Natural e Processamento de Sinais de Áudio através de Redes Neurais Convolucionais para compor a playlist semanalmente.[33]
      Spotify Descobertas da Semana música algoritmo Inteligência Artificial Redes Neurais playlist ciência tecnologia
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    pt.wikipedia.org/wiki/Aprendizado_de_máquina
  117. www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
    The “inconvenient truth” about AI in healthcare
    8
    1. buggaby 22 Aug 2019
      A notable by-product of a move of clinical as well as research data to the cloud would be the erosion of market power of EMR providers.

      But we have to be careful not to inadvertently favour the big tech companies in trying to stop favouring the big EMR providers.

      Artificial Intelligence
    2. buggaby 22 Aug 2019
      cloud computing is provided by a small number of large technology companies who have both significant market power and strong commercial interests outside of healthcare for which healthcare data might potentially be beneficial

      AI is controlled by these external forces. In what direction will this lead it?

      Artificial Intelligence
    3. buggaby 22 Aug 2019
      it has long been argued that patients themselves should be the owners and guardians of their health data and subsequently consent to their data being used to develop AI solutions.

      Mere consent isn't enough. We consent to give away all sorts of data for phone apps that we don't even really consider. We need much stronger awareness, or better defaults so that people aren't sharing things without proper consideration.

      Artificial Intelligence
    4. buggaby 22 Aug 2019
      To realize this vision and to realize the potential of AI across health systems, more fundamental issues have to be addressed: who owns health data, who is responsible for it, and who can use it? Cloud computing alone will not answer these questions—public discourse and policy intervention will be needed.

      This is part of the habit and culture of data use. And it's very different in health than in other sectors, given the sensitivity of the data, among other things.

      Artificial Intelligence
    5. buggaby 22 Aug 2019
      In spite of the widely touted benefits of “data liberation”,15 a sufficiently compelling use case has not been presented to overcome the vested interests maintaining the status quo and justify the significant upfront investment necessary to build data infrastructure.

      Advancing AI requires more than just AI stuff. It requires infrastructure and changes in human habit and culture.

      Artificial Intelligence
    6. buggaby 22 Aug 2019
      However, clinician satisfaction with EMRs remains low, resulting in variable completeness and quality of data entry, and interoperability between different providers remains elusive.11

      Another issue with complex systems: the data can be volumous but poor individual quality, relying on domain knowledge to be able to properly interpret (eg. that doctor didn't really prescribe 10x the recommended dose. It was probably an error.).

      Artificial Intelligence
    7. buggaby 22 Aug 2019
      Second, most healthcare organizations lack the data infrastructure required to collect the data needed to optimally train algorithms to (a) “fit” the local population and/or the local practice patterns, a requirement prior to deployment that is rarely highlighted by current AI publications, and (b) interrogate them for bias to guarantee that the algorithms perform consistently across patient cohorts, especially those who may not have been adequately represented in the training cohort.9

      AI depends on:

      • static processes - if the population you are predicting changes relative to the one used to train the model, all bets are off. It remains to be seen how similar they need to be given the brittleness of AI algorithms.
      • homogeneous population - beyond race, what else is important? If we don't have a good theory of health, we don't know.
      Artificial Intelligence
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    ncbi.nlm.nih.gov/pmc/articles/PMC6697674/
  118. bookbook.pubpub.org bookbook.pubpub.org
    Chapter 5
    1
    1. chrisaldrich 07 Aug 2019
      Both artists, through annotation, have produced new forms of public dialogue in response to other people (like Harvey Weinstein), texts (The New York Times), and ideas (sexual assault and racial bias) that are of broad social and political consequence.

      What about examples of future sorts of annotations/redactions like these with emerging technologies? Stories about deepfakes (like Obama calling Trump a "dipshit" or the Youtube Channel Bad Lip Reading redubbing the words of Senator Ted Cruz) are becoming more prevalent and these are versions of this sort of redaction taken to greater lengths. At present, these examples are obviously fake and facetious, but in short order they will be indistinguishable and more commonplace.

      deepfakes redactions annotations satire Bad Lip Reading artificial intelligence
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    bookbook.pubpub.org/pub/3kgj1a5o
  119. labsblog.f-secure.com labsblog.f-secure.com
    Adversarial Attacks Against AI
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    labsblog.f-secure.com/2019/07/11/adversarial-attacks-against-ai/
  120. Jun 2019
  121. en.wikipedia.org en.wikipedia.org
    AI winter - Wikipedia
    1
    1. malcolmjmr 24 Jun 2019
      The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the "American Association of Artificial Intelligence"). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research.[2] At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the "winter" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the 1980s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.
      artificial intelligence funding problem
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    en.wikipedia.org/wiki/AI_winter
  122. weneedtotalkai.files.wordpress.com weneedtotalkai.files.wordpress.com
    we-need-to-talk-ai_cc.pdf
    1
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    weneedtotalkai.files.wordpress.com/2019/04/we-need-to-talk-ai_cc.pdf
  123. May 2019
  124. engl201.opened.ca engl201.opened.ca
    Algorithms of Oppression_ImportanceofGoogle
    1
    1. CourtneyH 27 May 2019
      Deepmachinelearning,whichisusingalgorithmstoreplicatehumanthinking,ispredicatedonspecificvaluesfromspecifickindsofpeople—namely,themostpowerfulinstitutionsinsocietyandthosewhocontrolthem.

      This reminds me of this Reddit page

      The page takes pictures and texts from other Reddit pages and uses it to create computer generated posts and comments. It is interesting to see the intelligence and quality of understanding grow as it gathers more and more information.

      engl201 artificial intelligence
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    engl201.opened.ca/wp-content/uploads/sites/57/2019/05/Algorithms-of-Oppression_SocietySearching-protected.pdf
  125. cdn.aiindex.org cdn.aiindex.org
    AI Index 2018 Annual Report.pdf
    28
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    cdn.aiindex.org/2018/AI Index 2018 Annual Report.pdf
  126. Apr 2019
  127. er.educause.edu er.educause.edu
    The Catch 22 of Technology in Higher Education
    1
    1. kryslen 01 Apr 2019

      Ashley Norris is the Chief Academic Officer at ProctorU, an organization that provides online exam proctoring for schools. This article has an interesting overview of the negative side of technology advancements and what that has meant for student's ability to cheat. While the article does culminate as an ad, of sorts, for ProctorU, it is an interesting read and sparks thoughts on ProctorU's use of both human monitors for testing but also their integration of Artificial Intelligence into the process.

      Rating: 9/10.

      etc556 etcnau artificial intelligence academic integrity classroom technology higher education testing proctoring
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    er.educause.edu/blogs/sponsored/2018/8/the-catch-22-of-technology-in-higher-education
  128. Mar 2019
  129. timharford.com timharford.com
    Just because you’re paranoid, doesn’t mean the algorithms aren’t out to get you
    1
    1. pivic 27 Mar 2019
      If you do not like the price you’re being offered when you shop, do not take it personally: many of the prices we see online are being set by algorithms that respond to demand and may also try to guess your personal willingness to pay. What’s next? A logical next step is that computers will start conspiring against us. That may sound paranoid, but a new study by four economists at the University of Bologna shows how this can happen.
      surveillance capitalism capitalism algorithms bots artificial intelligence
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    timharford.com/2019/03/just-because-youre-paranoid-doesnt-mean-the-algorithms-arent-out-to-get-you/
  130. aeon.co aeon.co
    Your brain does not process information and it is not a computer – Robert Epstein | Aeon Essays
    3
    1. buggaby 18 Mar 2019
      Worse still, even if we had the ability to take a snapshot of all of the brain’s 86 billion neurons and then to simulate the state of those neurons in a computer, that vast pattern would mean nothing outside the body of the brain that produced it. This is perhaps the most egregious way in which the IP metaphor has distorted our thinking about human functioning.

      Again, this doesn't conflict with a machine-learning or deep-learning or neural-net way of seeing IP.

      Artificial Intelligence
    2. buggaby 18 Mar 2019
      No ‘copy’ of the story is ever made

      Or, the copy initially made is changed over time since human "memory" is interdependent and interactive with other brain changes, whereas each bit in computer memory is independent of all other bits.

      However, machine learning probably results in interactions between bits as the learning algorithm is exposed to more training data. The values in a deep neural network interact in ways that are not so obvious. So this machine-human analogy might be getting new life with machine learning.

      Artificial Intelligence
    3. buggaby 18 Mar 2019
      The IP perspective requires the player to formulate an estimate of various initial conditions of the ball’s flight

      I don't see how this is true. The IP perspective depends on algorithms. There are many different algorithms to perform various tasks. Some perform reverse-kinematic calculations, but others conduct simpler, repeated steps. In computer science, this might be dynamic programming, recursive algorithms, or optimization. It seems that the IP metaphor still fits: it's just that those using the metaphor may not have updated their model of IP to be more modern.

      Artificial Intelligence
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    aeon.co/essays/your-brain-does-not-process-information-and-it-is-not-a-computer
  131. techbuzztalk.com techbuzztalk.com
    Development of Artificial Intelligence || TechBuzz Talk
    1
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    techbuzztalk.com/development-of-artificial-intelligence/
  132. dougengelbart.org dougengelbart.org
    Augmenting Human Intellect: A Conceptual Framework - 1962 (AUGMENT,3906,) - Doug Engelbart Institute
    1
    1. jeremydean 01 Mar 2019
      we provide him as much help as possible in making a plan of action. Then we give him as much help as we can in carrying it out. But we also have to allow him to change his mind at almost any point, and to want to modify his plans.

      I'm thinking about the role of AI tutors/advisors here. How often do they operate in the kind of flexible way described here. I wonder if they can without actual human intervention.

      artificial intelligence tutoring advising edtech
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    dougengelbart.org/content/view/138/000/
  133. Feb 2019
  134. rightsanddissent.org rightsanddissent.org
    TSA PreCheck: The Risk of the Reward - Defending Rights & Dissent
    3
    1. hmstepanek 08 Feb 2019
      Nearly half of FBI rap sheets failed to include information on the outcome of a case after an arrest—for example, whether a charge was dismissed or otherwise disposed of without a conviction, or if a record was expunged

      This explains my personal experience here: https://hyp.is/EIfMfivUEem7SFcAiWxUpA/epic.org/privacy/global_entry/default.html (Why someone who had Global Entry was flagged for a police incident before he applied for Global Entry).

      global entry machine learning discrimination artificial intelligence privacy
    2. hmstepanek 08 Feb 2019
      Applicants also agree to have their fingerprints entered into DHS’ Automatic Biometric Identification System (IDENT) “for recurrent immigration, law enforcement, and intelligence checks, including checks against latent prints associated with unsolved crimes.

      Intelligence checks is very concerning here as it suggests pretty much what has already been leaked, that the US is running complex autonomous screening of all of this data all the time. This also opens up the possibility for discriminatory algorithms since most of these are probably rooted in machine learning techniques and the criminal justice system in the US today tends to be fairly biased towards certain groups of people to begin with.

      machine learning privacy global entry US intelligence artificial intelligence discrimination
    3. hmstepanek 08 Feb 2019
      It cited research, including some authored by the FBI, indicating that “some of the biometrics at the core of NGI, like facial recognition, may misidentify African Americans, young people, and women at higher rates than whites, older people, and men, respectively.

      This re-affirms the previous annotation that the set of training data for the intelligence checks the US runs on global entry data is biased towards certain groups of people.

      discrimination machine learning artificial intelligence intelligence privacy global entry
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    rightsanddissent.org/news/tsa-precheck-risk-reward/
  135. Jan 2019
  136. dl.acm.org dl.acm.org
    Proceedings of the 4th Decennial Aarhus Conference
    1
    1. wendynorris 01 Jan 2019
      CTP synthesizes critical reflection with technology production as a way of highlighting and altering unconsciously-held assumptions that are hindering progress in a technical field.

      Definition of critical technical practice.

      This approach is grounded in AI rather than HCI

      (verbatim from the paper) "CTP consists of the following moves:

      • identifying the core metaphors of the field

      • noticing what, when working with those metaphors, remains marginalized

      • inverting the dominant metaphors to bring that margin to the center

      • embodying the alternative as a new technology

      reflective design critical technical practice human-computer interaction artificial intelligence
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    dl.acm.org/doi/pdf/10.1145/1094562.1094569
  137. Dec 2018
  138. wendynorris.com wendynorris.com
    hci1523.vp
    13
    1. wendynorris 22 Dec 2018
      Our under-standing of the gap is driven by technological exploration through artifact cre-ation and deployment, but HCI and CSCW systems need to have at their corea fundamental understanding of how people really work and live in groups, or-ganizations, communities, and other forms of collective life. Otherwise, wewill produce unusable systems, badly mechanizing and distorting collabora-tion and other social activity.

      The risk of CSCW not driving toward a more scientific pursuit of social theory, understanding, and ethnomethodology and instead simply building "cool toys"

      cscw socio-technical gap hci science of the artificial
    3. wendynorris 22 Dec 2018
      Nonetheless, several guiding questions are required based on thesocial–technical gap and its role in any CSCW science of the artificial:• When can a computational system successfully ignore the need fornuance and context?• When can a computational system augment human activity withcomputer technologies suitably to make up for the loss in nuance andcontext, as argued in the approximation section earlier?• Can these benefits be systematized so that we know when we are add-ing benefit rather than creating loss?• What types of future research will solve some of the gaps betweentechnical capabilities and what people expect in their full range of so-cial and collaborative activities?

      Questions to consider in moving CSCW toward a science of the artificial

      cscw socio-technical gap hci science of the artificial
    6. wendynorris 22 Dec 2018
      First-order approximations, to adopt a metaphor from fluid dynamics, aretractable solutions that partially solve specific problems with knowntrade-offs.

      Definition of first-order approximations.

      Ackerman argues that CSCW needs a set of approximations that drive the development of initial work-arounds for the socio-technical gaps.

      Essentially, how to satisfy some social requirements and then approximate the trade-offs. Doesn't consider the product a solution in full but something to iterate and improve

      This may have been new/radical thinking 20 years ago but seems to have been largely adopted by the CSCW community

      cscw socio-technical gap hci science of the artificial approximations
    8. wendynorris 22 Dec 2018
      CSCW’s science, however, must centralize the necessary gap between whatwe would prefer to construct and what we can construct. To do this as a practi-cal program of action requires several steps—palliatives to ameliorate the cur-rent social conditions, first-order approximations to explore the design space,and fundamental lines of inquiry to create the science. These steps should de-velop into a new science of the artificial. In any case, the steps are necessary tomove forward intellectually within CSCW, given the nature of the social–tech-nical gap.

      Ackerman sets up the steps necessary for CSCW to become a science of the artificial and to try to resolve the socio-technical gap:

      Palliatives to ameliorate social conditions

      Approximations to explore the design space

      Lines of scientific inquiry

      cscw socio-technical gap hci science of the artificial
    10. wendynorris 22 Dec 2018
      Simon’s (1969/1981) book does not address the inevitable gaps betweenthe desired outcome and the means of producing that outcome for anylarge-scale design process, but CSCW researchers see these gaps as unavoid-able. The social–technical gap should not have been ignored by Simon.Yet, CSCW is exactly the type of science Simon envisioned, and CSCW couldserve as a reconstruction and renewal of Simon’s viewpoint, suitably revised. Asmuch as was AI, CSCW is inherently a science of the artificial,

      How Ackerman sees CSCW as a science of the artificial:

      "CSCW is at once an engineering discipline attempting to construct suitable systems for groups, organizations, and other collectivities, and at the same time, CSCW is a social science attempting to understand the basis for that construction in the social world (or everyday experience)."

      cscw socio-technical gap hci science of the artificial
    11. wendynorris 22 Dec 2018
      At a simple level,CSCW’s intellectual context is framed by social constructionism andethnomethodology (e.g., Berger & Luckmann, 1966; Garfinkel, 1967), systemstheories (e.g., Hutchins, 1995a), and many large-scale system experiences (e.g.,American urban renewal, nuclear power, and Vietnam). All of these pointed tothe complexities underlying any social activity, even those felt to be straightfor-ward.

      Succinct description of CSCW as social constructionism, ethnomethodlogy, system theory and large-scale system implementation.

      cscw socio-technical gap hci science of the artificial
    12. wendynorris 22 Dec 2018
      Yet,The Sciences of the Artificialbecame an an-them call for artificial intelligence and computer science. In the book he ar-gued for a path between the idea for a new science (such as economics orartificial intelligence) and the construction of that new science (perhaps withsome backtracking in the creation process). This argument was both charac-teristically logical and psychologically appealing for the time.

      Simon defines "Sciences of the Artificial" as new sciences/disciplines that synthesize knowledge that is technically or socially constructed or "created and maintained through human design and agency" as opposed to the natural sciences

      cscw socio-technical gap hci science of the artificial
    13. wendynorris 22 Dec 2018
      The HCI and CSCW research communitiesneed to ask what one might do to ameliorate the effects of the gap and to fur-ther understand the gap. I believe an answer—and a future HCI challenge—is toreconceptualize CSCW as a science of the artificial. This echoes Simon (1981)but properly updates his work for CSCW’s time and intellectual task.2

      Ackerman describes "CSCW as a science of the artificial" as a potential approach to reduce the socio-technical gap

      cscw socio-technical gap hci science of the artificial
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    wendynorris.com/wp-content/uploads/2018/04/Ackerman-2000-The-Intellectual-Challenge-of-CSCW-The-Gap-Between-Social-Requirements-and-Technical-Feasibility.pdf
  139. Nov 2018
  140. www.technologyreview.com www.technologyreview.com
    The rare form of machine learning that can spot hackers who have already broken in
    1
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    technologyreview.com/s/612427/the-rare-form-of-machine-learning-that-can-spot-hackers-who-have-already-broken-in/
  141. www.heise.de www.heise.de
    Industrie 4.0 - paradiesische Aussichten mit Marx und Keynes?
    1
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    heise.de/tp/features/Industrie-4-0-paradiesische-Aussichten-mit-Marx-und-Keynes-4213107.html
  142. Sep 2018
  143. www.mnemotext.com www.mnemotext.com
    The Technological Singularity
    1
    1. HarryWasAlreadyTaken 07 Sep 2018
      And its very likely that IA is a much easier road to the achievement of superhumanity than pure AI. In humans, the hardest development problems have already been solved. Building up from within ourselves ought to be easier than figuring out what we really are and then building machines that are all of that.

      The authors of the text are proposing a radically different approach to the inevitable "singularity" event. They propose the research and development IA, or Intelligence Amplification, is developing computers with a symbiosis with humans. Noting that IA could be easier to develop than AI algorithms, since humanity had to probe what their true weaknesses and strengths are. In turn, developing an IA system that could cover humanities' weaknesses. This would summarily prevent an IA algorithm from getting over itself, which could potentially slow a point when we reach singularity.

      Intelligence Amplification Artificial Intelligence Singularity Human-Computer Symbiosis Cyborgs
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    mnemotext.com/vinge-vernor/the-technological-singularity
  144. Jul 2018
  145. www.economist.com www.economist.com
    China has the world’s most centralised internet system
    1
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    economist.com/special-report/2018/06/28/china-has-the-worlds-most-centralised-internet-system
  146. Jun 2018
  147. www.lancaster.ac.uk www.lancaster.ac.uk
    Microsoft Word - suchman-agenciestechnodesign
    4
    1. equivalentideas 29 Jun 2018
      In “Getting Real,” Barad proposes that “reality is sedimented out of the process ofmaking the world intelligible through certain practices and not others ...” (1998: 105). If,as Barad and other feminist researchers suggest, we are responsible for what exists, what isthe reality that current discourses and practices regarding new technologies makeintelligible, and what is excluded? To answer this question Barad argues that we need asimultaneous account of the relations of humans and nonhumansandof their asymmetriesand differences. This requires remembering that boundaries between humans and machinesare not naturally given but constructed, in particular historical ways and with particularsocial and material consequences. As Barad points out, boundaries are necessary for thecreation of meaning, and, for that very reason, are never innocent. Because the cuts impliedin boundary making are always agentially positioned rather than naturally occurring, andbecause boundaries have real consequences, she argues, “accountability is mandatory”(187). :We are responsible for the world in which we live not because it is an arbitraryconstruction of our choosing, but because it is sedimented out of particular practicesthat we have a role in shaping (1998: 102).The accountability involved is not, however, a matter of identifying authorship in anysimple sense, but rather a problem of understanding the effects of particular assemblages,and assessing the distributions, for better and worse, that they engender.
      semantics design artificial-intelligence technology
    4. equivalentideas 29 Jun 2018
      Figured as servants,she points out, technologies reinscribe the difference between ‘us’ and those who serve us,while eliding the difference between the latter and machines: "The servanttroubles thedistinction between we-human-subjects-inventors with a lot to do (on the onehand) andthem-object-things that make it easier for us (on the other)" (1995: 73)
      artificial-intelligence technology
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    lancaster.ac.uk/fass/resources/sociology-online-papers/papers/suchman-agenciestechnodesign.pdf
  148. Apr 2018
  149. astrologynewsservice.com astrologynewsservice.com
    Automated Study May Silence Astrology’s Critics ‹ Astrology News Service
    1
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    astrologynewsservice.com/news/automated-study-may-silence-astrologys-critics/
  150. www.economist.com www.economist.com
    America should borrow from Europe’s data-privacy law
    1
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    economist.com/news/leaders/21739961-gdprs-premise-consumers-should-be-charge-their-own-personal-data-right
  151. Mar 2018
  152. webfoundation.org webfoundation.org
    AI_Report_WF.pdf
    3
    1. hiperterminal 01 Mar 2018
      The concentration of skills in certain countries and global companies could lead to a situation where other (native) companies are crowded out.

      Riesgo de la falta de desarrollo de capacidades informacionales, pero o por lo mínimo, sino por lo máximo: No se trata de gente que no sabe usar un computador y debe aprenderlo, sino de aquellos que desarrollan inteligencia artificial y no tienen la capacidad de llegar hasta lo más alto en esta escala.

      Inteligencia artificial Desarrollo de capacidades informacionales
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    webfoundation.org/docs/2017/07/AI_Report_WF.pdf
  153. Feb 2018
  154. ojs.library.queensu.ca ojs.library.queensu.ca
    Microsoft Word - usa.docx
    1
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    ojs.library.queensu.ca/index.php/surveillance-and-society/article/download/6606/6484/
  155. Jan 2018
  156. maestriadesarrollo.com maestriadesarrollo.com
    autonomia-y-diseno-arturo-escobar-ok.pdf
    1
    1. offray 22 Jan 2018
      ante la destructividad naturalizada que ha acompañado el Antropoceno y ante la aparición de lo artificial como el modo ineluctable de la vida humana, necesitamos oponer el cultivo de modos de devenir cualitativamente nuevos a través del potencial futurizante ofrecido por lo artificial. En este caso ‘posibilidad’ significa “la negociación con la realidad y no una escalada de lo que es”
      artificial diseño para las transiciones negociación
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    maestriadesarrollo.com/sites/default/files/publicaciones/autonomia-y-diseno-arturo-escobar-ok.pdf
  157. Dec 2017
  158. medium.com medium.com
    Is AI Riding a One-Trick Pony? – MIT Technology Review – Medium
    1
    1. daveh70 01 Dec 2017

      Most of the recent advances in AI depend on deep learning, which is the use of backpropagation to train neural nets with multiple layers ("deep" neural nets).

      Neural nets consist of layers of nodes, with edges from each node to the nodes in the next layer. The first and last layers are input and output. The output layer might only have two nodes, representing true or false. Each node holds a value representing how excited it is. Each edge has a value representing strength of connection, which determines how much of the excitement passes through.

      The edges in an untrained neural net start with random values. The training data consists of a series of samples that are already labeled. If the output is wrong, the edges are adjusted according to how much they contributed to the error. It's called backpropagation because it starts with the output nodes and works toward the input nodes.

      Deep neural nets can be effective, but only for single specific tasks. And they need huge sets of training data. They can also be tricked rather easily. Worse, someone who has access to the net can discover ways of adding noise to images that will make the net "see" things that obviously aren't there.

      machine learning artificial intelligence programming
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    medium.com/mit-technology-review/is-ai-riding-a-one-trick-pony-b9ed5a261da0
  159. Aug 2017
  160. www.ted.com www.ted.com
    How AI can enhance our memory, work and social lives
    1
    1. klogram 28 Aug 2017
      So this transforms how we do design. The human engineer now says what the design should achieve, and the machine says, "Here's the possibilities." Now in her job, the engineer's job is to pick the one that best meets the goals of the design, which she knows as a human better than anyone else, using human judgment and expertise.

      A post on the Keras blog was talking about eventually using AI to generate computer programs to match certain specifications. Gruber is saying something very similar.

      artificial intelligence
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    ted.com/talks/tom_gruber_how_ai_can_enhance_our_memory_work_and_social_lives
  161. Jun 2017
  162. opentextbc.ca opentextbc.ca
    Changing Attitudes through Persuasion | Principles of Social Psychology – 1st International Edition
    1
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    opentextbc.ca/socialpsychology/chapter/changing-attitudes-through-persuasion/
  163. Apr 2017
  164. www.inverse.com www.inverse.com
    Bob Ross Filtered Through Google’s DeepDream A.I. Is a Fever Dream from Hell
    1
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    inverse.com/article/30046-bob-ross-deepmind-deep-dream-a-i-neural-network-lsd-painting
  165. Mar 2017
  166. www.theregister.co.uk www.theregister.co.uk
    Spammy Google Home spouts audio ads without warning – now throw yours in the trash
    1
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    theregister.co.uk/2017/03/16/google_home_audio_adverts/
  167. techcrunch.com techcrunch.com
    AI Experts On The Reality Behind The Sci-Fi Thriller “Transcendence”
    1
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    techcrunch.com/2014/04/20/transcending-artificial-intelligence/
  168. Feb 2017
  169. meta.com meta.com
    Meta - AI for Science
    1
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    meta.com
  170. Jan 2017
  171. dev.to dev.to
    Untold Problems of a Software Blog - Bots
    1
    1. daveh70 08 Jan 2017

      According to a 2015 report by Incapsula, 48.5% of all web traffic are by bots.

      ...

      The majority of bots are "bad bots" - scrapers that are harvesting emails and looking for content to steal, DDoS bots, hacking tools that are scanning websites for security vulnerabilities, spammers trying to sell the latest diet pill, ad bots that are clicking on your advertisements, etc.

      ...

      Content on websites such as dev.to are reposted elsewhere, word-for-word, by scrapers programmed by Black Hat SEO specialists.

      ...

      However, a new breed of scrapers exist - intelligent scrapers. They can search websites for sentences containing certain keywords, and then rewrite those sentences using "article spinning" techniques.

      blogging web development ai artificial intelligence
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    dev.to/tra/untold-problems-of-a-software-blog---bots
  172. Dec 2016
  173. www.newscientist.com www.newscientist.com
    Google Translate AI invents its own language to translate with
    1
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    newscientist.com/article/2114748-google-translate-ai-invents-its-own-language-to-translate-with/
  174. obamawhitehouse.archives.gov obamawhitehouse.archives.gov
    Artificial-Intelligence-Automation-Economy.PDF
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    obamawhitehouse.archives.gov/sites/whitehouse.gov/files/documents/Artificial-Intelligence-Automation-Economy.PDF
  175. Sep 2016
  176. pdfs.semanticscholar.org pdfs.semanticscholar.org
    PII: 0004-3702(90)90055-5
    1
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    pdfs.semanticscholar.org/6a22/2f2787607ecdb75b08e5f495fbed3c15d418.pdf
  177. robotics.stanford.edu robotics.stanford.edu
    Untitled document
    1
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    robotics.stanford.edu/~shoham/www papers/Shoham Intention JPL.pdf
  178. Jun 2016
  179. www.teachthought.com www.teachthought.com
    TeachThought: A Diagram Of Pedagogy in the 21st Century -
    1
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    teachthought.com/the-future-of-learning/domains-of-21st-century-pedagogy/
  180. May 2016
  181. www.theatlantic.com www.theatlantic.com
    The Man Who Would Teach Machines to Think
    1
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    theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
  182. Apr 2016
  183. techcrunch.com techcrunch.com
    Your Algorithmic Self Meets Super-Intelligent AI
    1
    1. daveh70 21 Apr 2016

      We should have control of the algorithms and data that guide our experiences online, and increasingly offline. Under our guidance, they can be powerful personal assistants.

      Big business has been very militant about protecting their "intellectual property". Yet they regard every detail of our personal lives as theirs to collect and sell at whim. What a bunch of little darlings they are.

      machine learning deep learning big data personal data internet web artificial intelligence
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    techcrunch.com/2015/12/14/your-algorithmic-self-meets-super-intelligent-ai/
  184. Jan 2016
  185. cacm.acm.org cacm.acm.org
    Why Knowledge Representation Matters
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    cacm.acm.org/magazines/2016/1/195730-why-knowledge-representation-matters/fulltext
  186. nautil.us nautil.us
    The Man Who Tried to Redeem the World with Logic - Issue 21: Information - Nautilus
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    nautil.us/issue/21/information/the-man-who-tried-to-redeem-the-world-with-logic
  187. Dec 2015
  188. openai.com openai.com
    OpenAI
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    openai.com/blog/introducing-openai/
  189. code.facebook.com code.facebook.com
    Facebook to open-source AI hardware design
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    code.facebook.com/posts/1687861518126048/facebook-to-open-source-ai-hardware-design/
  190. verde.com.br verde.com.br
    Inicial - Verde
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    verde.com.br/br/