Litigating Algorithms, Beyond Education
This past June, I presented at a conference at New York University (NYU) called Litigating Algorithms. Most attendees were lawyers, law students, and the like, all of whom were there to discuss the multiple ways that they have collectively and independently been challenging governmental uses of algorithm-based, decision-making systems (i.e., like VAMs) across disciplines. I was there to present about how VAMs have been used by states and school districts in education, as well as present the key issues with VAMs as litigated via the lawsuits in which I have been engaged (e.g., Houston, New Mexico, New York, Tennessee, and Texas). The conference was sponsored by the AI Now Institute, also at NYU, which has as its mission to examine the social implications of artificial intelligence (AI), and in collaboration with the Center on Race, Inequality, and the Law, affiliated with the NYU School of Law.
Anyhow, they just released their report from this conference and I thought it important to share out with all of you, also in that it details the extent to which similar AI systems are being used across disciplines beyond education, and it details how such uses (misuses and abuses) are being litigated in court.
See the press release below, and see the full report here.
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Litigating Algorithms 2019 U.S. Report – New Challenges to Government Use of Algorithmic Decision Systems
Today the AI Now Institute and NYU Law’s Center on Race, Inequality, and the Law published new research on the ways litigation is being used as a tool to hold government accountable for using algorithmic tools that produce harmful results.
Algorithmic decision systems (ADS) are often sold as offering a number of benefits, CONTINUE READING: Litigating Algorithms, Beyond Education | VAMboozled!
