The Turing Lectures - Mitigating Algorithmic Bias in AI Systems

Explore a thought-provoking lecture on mitigating algorithmic bias in AI systems. Join Dr. Nicol Turner Lee, a senior fellow at the Brookings Institution, as she presents her groundbreaking research on developing a sociotechnical approach to AI bias. Discover the components of her innovative "energy star ratings" system, designed to integrate high-quality technical practices in model design, appropriate public policy prescriptions, and consumer feedback loops. Learn how this approach aims to predict and correct potential discriminatory outcomes throughout an algorithm's lifecycle. Gain insights into the critical intersection of technology, ethics, and human rights, and understand the far-reaching implications of biased AI systems on vulnerable populations. Suitable for a general audience, this 38-minute talk offers valuable perspectives on the future of AI governance and the importance of proactive measures in ensuring equitable access to technology.

The Turing Lectures: Policy fights back