Thanks for the replies, all. I'm working my way through them and having a heyday. This is what I am trying to drill into: The accuracy of big data applications will be affected by the accuracy of small data. And all the things that can go wrong in the data lifecycle that thwart accuracy. Many thanks for all your suggestions so I could articulate this better. Sheryl On Mon, May 14, 2018 at 7:10 PM, Paul Henman <p.henman@uq.edu.au> wrote:
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@uq.edu.au | W: www.digitalsocialpolicy.com
UQ ALLY - Supporting the diversity of sexuality and gender identity at UQ. CRICOS Provider Number: 00025B -----Original Message----- From: Air-L <air-l-bounces@listserv.aoir.org> On Behalf Of Deborah Lupton Sent: Tuesday, 15 May 2018 8:18 AM To: Sheryl Grant <sherylgrant@gmail.com> Cc: <air-l@listserv.aoir.org> <air-l@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@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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