Discussion (1L): Democracy and Algorithmic Governance

Catalog description

In this discussion seminar we will examine the growth of 'artificial intelligence' (natural language processing, machine learning, and predictive analytics) from an interdisciplinary perspective. The principal objects of focus will be theories of innovation, the proliferation of algorithmic systems that subject human behavior and judgment to algorithmic control, the dependence of algorithmic systems on data surveillance, problems of error, 'leakage,' and bias (including racial bias), the promise of automation, the displacement of ordinary law and professional expertise by algorithmic code, and the tensions between liberal democratic concepts of the rule of law and the operation of code as law. No computer science training or previous training in critical theory is necessary. Class meets 6:00 PM-8:00 PM on Tuesdays (Specific dates are TBA, but we will most likely hold one session in September, two in October, and one in early November). Elements used in grading: Full attendance, reading of assigned materials, and active participation.