Hi Sheryl, My colleague Joanna Redden at the Data Justice Lab has put together a Data Harm Record that might be of use: https://datajusticelab.org/data-harm-record/ Best, Lina -- Dr Lina Dencik Senior Lecturer/Director MA Journalism, Media and Communication Co-Founder Data Justice Lab PI Data Justice: Understanding datafication in relation to social justice (DATAJUSTICE) ERC Starting Grant 2018-2023 School of Journalism, Media and Culture, Cardiff University Bute Building, King Edward VII Avenue, Cardiff CF10 3NB Email: DencikL@cardiff.ac.uk, Tel: +44 (0)29 208 75461 Twitter: @LinaDencik Fellow, Center for Media, Data and Society, Central European University ________________________________ From: Air-L <air-l-bounces@listserv.aoir.org> on behalf of Sheryl Grant <sherylgrant@gmail.com> Sent: 14 May 2018 22:28:51 To: air-l@listserv.aoir.org Subject: [Air-L] cases in which data-driven decision-making went awry 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 Join the Association of Internet Researchers: http://www.aoir.org/