Case Study Working Groups

This session uses hypothetical case studies—many based on real-world disputes—to explore how AI might reshape, confound, or challenge the enforcement of antidiscrimination law in a variety of sectors. Breakout participants will grapple with how AI systems may perpetuate or obscure discrimination based on a range of protected characteristics, including race, gender, disability, language, national origin, religion, and family status. The session pushes attendees to think strategically about both legal frameworks and technological design choices, examining how discrimination is identified, proven, and addressed in AI contexts. Through interdisciplinary discussion, participants will consider how antidiscrimination law and AI governance may need to evolve.