[Air-L] cases in which data-driven decision-making went awry

[Deborah Lupton]

The Australian Government's social services stuff-up 'robo-debt' is a good
example:

https://www.smh.com.au/politics/federal/robo-debt-an-unlawful-exercise-former-appeals-tribunal-member-says-20180405-p4z7x9.html



On Tue, May 15, 2018 at 7:28 AM, Sheryl Grant <sherylgrant at 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
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