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

[Paul Henman]

Re RoboDebt

See my conference paper Henman, Paul. (2017, September 4). The computer says 'DEBT': Towards a critical sociology of algorithms and algorithmic governance. Data for Policy Conference 2017. Zenodo. 10.5281/zenodo.884116 at https://zenodo.org/record/884117#.WcTlEsh97IU 

I'm happy to discuss technical bits further if required.

Paul Henman
Associate Professor of Digital Sociology and Social Policy
Director, Bachelor of Social Science
School of Social Science
University of Queensland  QLD  4072
T: +61 7 3365 2765 | E: P.Henman at uq.edu.au | W: www.digitalsocialpolicy.com 

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-----Original Message-----
From: Air-L <air-l-bounces at listserv.aoir.org> On Behalf Of Deborah Lupton
Sent: Tuesday, 15 May 2018 8:18 AM
To: Sheryl Grant <sherylgrant at gmail.com>
Cc: <air-l at listserv.aoir.org> <air-l at listserv.aoir.org>
Subject: Re: [Air-L] cases in which data-driven decision-making went awry

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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