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