Baked-In Bias: Practical steps to avoiding the hidden risks of AI

Embark on a comprehensive exploration of AI regulation in this session. I will demystify the overarching legal framework for AI regulation, navigating the intricate intersections with existing privacy laws, White House initiatives, NIST standards, and the proposed EU AI Act. Dive deep into the diverse risks associated with AI, closely examining sources of bias and critically assessing empirical evidence on potential biases while exploring effective steps for mitigation. The conversation will extend to legislative measures, including an in-depth analysis of bills such as SB 5351, shedding light on their proposed strategies for regulating these risks. As a practical takeaway, I will offer valuable suggestions on how companies can proactively address risks, ensuring compliance and resilience amidst the dynamic legal landscape.

Key topics to be discussed:

• General legal landscape for AI regulation under existing privacy laws, White House initiatives, NIST standards, and the proposed EU AI Act
• Risks associated with AI, including the sources of risks such as bias
• Imperial evidence on such bias and mitigating steps
• How bills such as SB 5351 would regulate those risks
• Practical suggestions on how companies can mitigate risks and stay ahead of the changing legal landscape

Date / Time: December 7, 2023

Closed-captioning available