for - AI - security risk - once automated AI research is known, bad actors can easily build superintelligence

AI - security risk - once automated AI research is known, bad actors can easily build superintelligence - Any lead that the US had would immediately vanish.

Caulfield, T., Bubela, T., Kimmelman, J., & Ravitsky, V. (2021). Let’s do better: Public representations of COVID-19 science. FACETS, 6, 403–423. https://doi.org/10.1139/facets-2021-0018

News ·, A. M. · C. (2022, January 15). Canadian COVID-19 vaccine study seized on by anti-vaxxers—Highlighting dangers of early research in pandemic | CBC News. CBC. https://www.cbc.ca/news/health/covid-19-vaccine-study-omicron-anti-vaxxers-1.6315890

Kimberly Prather, Ph.D. (2022, January 11). This paper is not published..not reviewed...and has serious problems that will hopefully be fixed during the review process. The lead authors know this. See posts by me @linseymarr @jljcolorado . [Tweet]. @kprather88. https://twitter.com/kprather88/status/1481019341625724928

Deepti Gurdasani. (2022, January 29). Going to say this again because it’s important. Case-control studies to determine prevalence of long COVID are completely flawed science, but are often presented as being scientifically robust. This is not how we can define clinical syndromes or their prevalence! A thread. [Tweet]. @dgurdasani1. https://twitter.com/dgurdasani1/status/1487366920508694529

Sharma, M., Scarr, S., & Kell, K. (n.d.). Speed Science. Reuters. Retrieved August 19, 2021, from https://graphics.reuters.com/CHINA-HEALTH-RESEARCH/0100B5ES3MG/index.html

Prof Nichola Raihani on Twitter: “Submitted a paper reporting null results to a mid tier journal. Guess how it went. I literally don’t care at this point but I do feel bad for the first author (who I won’t name here). Https://t.co/sX5lTcEl29” / Twitter. (n.d.). Retrieved July 16, 2021, from https://twitter.com/nicholaraihani/status/1415308025179656194

Moss, A. J., Rosenzweig, C., Jaffe, S. N., Gautam, R., Robinson, J., & Litman, L. (2021). Bots or inattentive humans? Identifying sources of low-quality data in online platforms [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/wr8ds

Tang, J. W., Bahnfleth, W. P., Bluyssen, P. M., Buonanno, G., Jimenez, J. L., Kurnitski, J., Li, Y., Miller, S., Sekhar, C., Morawska, L., Marr, L. C., Melikov, A. K., Nazaroff, W. W., Nielsen, P. V., Tellier, R., Wargocki, P., & Dancer, S. J. (2021). Dismantling myths on the airborne transmission of severe acute respiratory syndrome coronavirus (SARS-CoV-2). Journal of Hospital Infection, 0(0). https://doi.org/10.1016/j.jhin.2020.12.022

Scientist, N. (n.d.). How to sniff out the good coronavirus studies from the bad. New Scientist. Retrieved July 1, 2020, from https://www.newscientist.com/article/2242835-how-to-sniff-out-the-good-coronavirus-studies-from-the-bad/

The Cost of Correcting Bad Science. (2020, July 9). RIOT Science Club - YouTube. https://www.youtube.com/watch?v=LZBHGzQ8lVg

Besançon, L., Peiffer-Smadja, N., Segalas, C., Jiang, H., Masuzzo, P., Smout, C., Deforet, M., & Leyrat, C. (2020). Open Science Saves Lives: Lessons from the COVID-19 Pandemic. BioRxiv, 2020.08.13.249847. https://doi.org/10.1101/2020.08.13.249847

C. L., & Print. (2020, August 14). Op-Ed: We rely on science. Why is it letting us down when we need it most? Los Angeles Times. https://www.latimes.com/opinion/story/2020-08-14/replication-crisis-science-cancer-memory-rewriting

Maarten van Smeden on Twitter: “This is a kind reminder that most issues with data (e.g. measurement error, incomplete data, confounding, selection) do not disappear just because you have N = ginormous” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/MaartenvSmeden/status/1283313496382373890

Meta-Scientists (PYMS), P. for Y. (n.d.). PYMS. PYMS. Retrieved June 22, 2020, from /

BehSciMeta repost. (2020, May 22). "Great piece by James Heathers on how preprints have turned into publicity vehicles and researchers are being irresponsible in not responding to criticism" Reddit. https://www.reddit.com/r/BehSciMeta/comments/go6lik/great_piece_by_james_heathers_on_how_preprints/

Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465

van Smeden, M. (2020, May 26). "RT @MaartenvSmeden: Often more than 300 COVID-19 related scientific articles published per day Data from @evidencelive." Twitter. https://twitter.com/SciBeh/status/1265657595307667457

Glasziou, P. P., Sanders, S., & Hoffmann, T. (2020). Waste in covid-19 research. BMJ 2020;369. doi: https://doi.org/10.1136/bmj.m1847

Lee, S. M. (2020, April 22) Two Antibody Studies Say Coronavirus Infections Are More Common Than We Think. Scientists Are Mad. https://www.buzzfeednews.com/article/stephaniemlee/coronavirus-antibody-test-santa-clara-los-angeles-stanford

Daniël Lakens on Twitter

Taber, S. (2019, September 18). The Problem With Sugar-Daddy Science. The Atlantic. https://www.theatlantic.com/ideas/archive/2019/09/problem-sugar-daddy-science/598231/

Carl T. Bergstrom on Twitter

Heathers, J. (2020 April 13). Hurry, don't rush. Medium. https://medium.com/@jamesheathers/hurry-dont-rush-e1aee626e733

ceiling effect for control group