Algorithms that analyze data, predict outcomes, suggest solutions and make decisions are increasingly embedded into everyday life. Machines automate content filtering, drive cars and fly planes, trade stocks, evaluate resumes, assist with medical diagnostics and contribute to government decision-making. Given the growing role of artificial intelligence and machine learning in society, how should we define and enforce traditional legal obligations of privacy, non-discrimination, due process, liability, professional responsibility and reasonable care?
The 2019 Annual BCLT/BTLJ Symposium will convene scholars and practitioners from law, policy, ethics, computer science, medicine and social science to consider what roles we should allow machines to play and how to govern them in support of public policy goals. Cooley c/d/p vice chair Boris Segalis will moderate the panel “Trust but Verify – Validating and Defending Against Machine Decisions” at this event.