Lessons in AI Integrity: Algorithmic Bias & Data Privacy
In this video from Diligent's Education & Templates Library, Samantha Kappagoda, Independent Director, Credit Suisse Funds and Chief Data Scientist, Numerati Partners LLC, examines best practices for boards to ensure strong data integrity and robust privacy practices related to AI tools. She also explores the importance of robust AI bias prevention and how organizations can detect and mitigate these risks early in the AI development process.
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About Samantha
Samantha Kappagoda is an Independent Director and Nominating Chair of the Credit Suisse Funds, now under the UBS umbrella, Chief Data Scientist of Numerati® Partners, Visiting Scholar at NYU Courant Institute of Mathematical Sciences, and a Member of the Business Board of the Governing Council at the University of Toronto. Samantha has been featured in Directors to Watch, and she is frequently invited to speak on AI, cybersecurity and risk governance. She recently served as a panelist for Diligent, Corporate Board Member and Directors & Boards. She is the author of Board Governance of AI and Emerging Technologies in Directors & Boards.
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