An accurate understanding of the nature of race in our society is a prerequisite for an adequate normative theory of discrimination.

Legal claims of disparate impact discrimination go something like this: A company uses some system (e.g., hiring test, performance review, risk assessment tool) in a way that impacts people. Somebody sues, arguing that it has a disproportionate adverse effect on…

Technology companies are coming under increased scrutiny for the ethical consequences of their work, and some have formed advisory boards or hired ethicists on staff. (Google's AI ethics board quickly disintegrated.) Another approach is to train computer scientists in ethics…

In the digital ethics literature, there's a consistent back-and-forth between attempts at designing algorithmic tools that promote fair outcomes in decision-making processes, and critiques that enumerate the limits of such attempts. A December paper by ANDREW SELBST, dana boyd, SORELLE…

FAIRNESS IN MACHINE LEARNING | METARESEARCH | MICROSTRUCTURE OF VIOLENCE DISTINCT FUSION Tracking the convergence of terms across disciplines In a new paper, CHRISTIAN VINCENOT looks at the process by which two synonymous concepts developed independently in separate disciplines, and…