Lessons in AI Integrity: Algorithmic Bias & Data Privacy

July 10, 2025

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.

Enhance your AI oversight with Diligent's Education & Templates Library

Diligent's Education & Templates Library features curated libraries of eLearning courses, certifications, templates and videos on key GRC topics, including AI governance, risk management and ethics. Explore and learn as the Diligent Education & Templates Library continues to grow, ensuring the latest insights and guidance.

Learn more about the Education & Templates Library, as part of the Diligent One Platform, and request a demo here.

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.

Your Data Matters

At our core, transparency is key. We prioritize your privacy by providing clear information about your rights and facilitating their exercise. You're in control, with the option to manage your preferences and the extent of information shared with us and our partners.