I'm not sure if this is what you mean, but there is a great paper on unexpected and sometimes disturbing behavior from machine-learning algorithms here: https://arxiv.org/pdf/1803.03453.pdf and a more popular press write-up of their study here: http://aiweirdness.com/post/172894792687/when-algorithms-surprise-us Safiya Noble's book *Algorithms of Oppression* is fantastic on the more "here is the harm that results from certain kinds of data-driven decision making" aspect of your question. You might also look at Eden Medina's book *Cybernetic Revolutionaries: Technology and Politics in Allende's Chile* on how and why an early attempt to run a country based on data and algorithmic decision went caput. On Mon, May 14, 2018 at 4:28 PM, Sheryl Grant <sherylgrant@gmail.com> wrote:
I apologize in advance that this is an imperfectly phrased query.
In short, I'm looking for literature about terrible data governance and related issues. Basically, what happens when there are errors in automated data systems, how those errors might have occurred, and what institutions do (or don't) when they discover those errors. Ideally, cases would describe the technical bits as well as the human choices made.
Another way to say it is that my colleagues and I are looking for investigations into data-driven decision-making gone awry.
I've read Kathy O'Neill's Weapons of Math Destruction, which was excellent, and now I'm looking for more specific cases, if they exist.
Thanks,
Sheryl Grant _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/ listinfo.cgi/air-l-aoir.org
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