Ricochet is the best place on the internet to discuss the issues of the day, either through commenting on posts or writing your own for our active and dynamic community in a fully moderated environment. In addition, the Ricochet Audio Network offers over 40 original podcasts with new episodes released every day.
Discussions of the dangers of Artificial Intelligence (AI) have long included concerns about AI systems’ potential to discriminate against racial minorities, women, and other groups said to be disadvantaged. But more recently, there have been increasing concerns about the dangers of Woke AI. Because generative AI models learn from large amounts of real-world data, which is primarily gleaned from internet content and thus tends to reflect dominant cultural views, is some degree of political bias in these models inevitable? If not, what can be done to avoid such bias?
Increasingly, politicians and other policymakers are proposing laws, regulations, and guidelines aimed at preventing bias against minority groups in AI systems. Do we need similar laws to protect against the biases of Woke AI and if so, what should those laws look like?
Please join us as an expert panel discusses these questions and more.
Featuring:
Prof. Vincent Conitzer, Professor of Computer Science & Director, Foundations of Cooperative AI Lab (FOCAL), Carnegie Mellon University
Nicholas P. Garcia, Senior Policy Counsel, Public Knowledge
Curt Levey, President, Committee for Justice
(Moderator) Hon. Kenneth L. Marcus, Founder and Chairman, Louis D. Brandeis Center for Human Rights Under Law
Subscribe to The Federalist Society's Teleforum in Apple Podcasts (and leave a 5-star review, please!), or by RSS feed. For all our podcasts in one place, subscribe to the Ricochet Audio Network Superfeed in Apple Podcasts or by RSS feed.
Published in: General