Ethics in AI Research Seminar | Directly Discriminatory Algorithms

Jeremias Adams-Prassl, Aislinn Kelly-Lyth and Reuben Binns
Event date
Event time
13:00 - 14:00
Institute for Ethics in AI
Faculty of Philosophy
Radcliffe Observatory Quarter
Venue details

Hybrid format, allowing up to 20 people to attend in person and everyone else online

Event type
Lectures and seminars
Event cost
Disabled access?
Booking required

Abstract: Discriminatory bias in algorithmic systems is widely documented. How should the law respond? A broad consensus suggests the lens of indirect discrimination, focusing on algorithmic systems’ impact. In this article, we set out to challenge this approach, arguing that it is both normatively undesirable and built on an unduly narrow understanding of direct discrimination, particularly in the context of machine learning systems. We illustrate how certain forms of algorithmic bias in frequently deployed algorithms might constitute direct discrimination, and explore the ramifications - both in practical terms, and the broader challenges automated decision-making systems pose to the conceptual apparatus of anti-discrimination law.