10 Matching Annotations
  1. Aug 2019
    1. I can still recall playing with the “pseudo-AI” playgrounds of the late 1990s — plugging AOL AIM messenger up to a response engine. Lots of fun!Well, things have come a long way and I thought that I’d take a stab at doing some fun stuff with A.I. and one of my favorite platforms to hack around in — Twitter.In this post I’m going to show how you can 1) create an AI based on your twitter account and 2) automatically tweet out whatever your AI wants to. Twitter is actually the perfect playground for such ventures. Lots of sample texts, concrete themes, easy sampling…

      Imagine having an entire technological entity with a mind of its own at your own disposal.... It's real and it exists. Artificial Intelligence bots are built to respond and interact with real users based on whatever it chooses to say itself. This concept is so intriguing because the question must be raised; Can this technology grow to be more powerful than human control?

  2. Mar 2019
    1. 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.
  3. Oct 2018
  4. Aug 2018
    1. The first of the two maps in the GIF image below shows the US political spectrum on the eve of the 2016 election. The second map highlights the followers of a 30-something American woman called Jenna Abrams, a following gained with her viral tweets about slavery, segregation, Donald Trump, and Kim Kardashian. Her far-right views endeared her to conservatives, and her entertaining shock tactics won her attention from several mainstream media outlets and got her into public spats with prominent people on Twitter, including a former US ambassador to Russia. Her following in the right-wing Twittersphere enabled her to influence the broader political conversation. In reality, she was one of many fake personas created by the infamous St. Petersburg troll farm known as the Internet Research Agency.
    2. Instead of trying to force their messages into the mainstream, these adversaries target polarized communities and “embed” fake accounts within them. The false personas engage with real people in those communities to build credibility. Once their influence has been established, they can introduce new viewpoints and amplify divisive and inflammatory narratives that are already circulating. It’s the digital equivalent of moving to an isolated and tight-knit community, using its own language quirks and catering to its obsessions, running for mayor, and then using that position to influence national politics.
  5. Jul 2018
    1. RuNet Echo has previously written about the efforts of the Russian “Troll Army” to inject the social networks and online media websites with pro-Kremlin rhetoric. Twitter is no exception, and multiple users have observed Twitter accounts tweeting similar statements during and around key breaking news and events. Increasingly active throughout Russia's interventions in Ukraine, these “bots” have been designed to look like real Twitter users, complete with avatars.
  6. May 2017
    1. Multi-party Conversational Systems are systems with natural language interactionbetween one or more people or systems. From the moment that an utterance is sent toa group, to the moment that it is replied in the group by a member, several activitiesmust be done by the system: utterance understanding, information search, reasoning,among others. In this paper we present the challenges of designing and building multi-party conversational systems, the state of the art, our proposed hybrid architectureusing both norms and machine learning and some insights after implementing andevaluating one on the finance domain.

      Conversational Systems

  7. Feb 2016
    1. For example, I got the great idea to link my social bot designed to assess the “temperature” of online communities up to a piece of hardware designed to produce heat. I didn’t think to cap my assessment of the communities and so when my bot stumbled upon a super vibrant space and offered back a quantitative measure intended to signal that the community was “hot,” another piece of my code interpreted this to mean: jack the temperature up the whole way. I was holding that hardware and burnt myself. Dumb. And totally, 100% my fault.

      "Give a bot a heat gun" seems like the worst idea possible.

    2. Bots are first and foremost technical systems, but they are derived from social values and exert power into social systems.

      This is very important to keep in mind. "Bots exert power into social systems."

    3. Bots are tools, designed by people and organizations to automate processes and enable them to do something technically, socially, politically, or economically

      Interesting that danah sees all bots as tools, including art bots! She'd probably categorize those as things that do something "socially"