[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