In this video from Diligent's Education & Templates Library, Andrea Bonime-Blanc, CEO, GEC Risk Advisory, Board Member, Advisor & Author of Governing Pandora (2026), explores best practices for structuring board oversight of AI, including the role of board committees, board training and education.

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About Andrea Andrea Bonime-Blanc, JD/PhD, is the CEO & Founder of GEC Risk Advisory and an expert in governance, strategic risk, sustainability, and exponential technologies. A former C-suite executive, she advises global businesses, NGOs, and governments, and serves on multiple boards. She is a Senior Fellow at The Conference Board and NYU’s Center for Global Affairs, and Ethics Advisor to the Financial Oversight and Management Board for Puerto Rico. Recognized by Diligent Governance 100, NACD Directorship 100, and Ethisphere’s 100 Most Influential in Business Ethics, Andrea is the author of Gloom to Boom and the upcoming Governing Pandora (Georgetown University Press, 2026).

AI and Cybersecurity: Protecting Organizations from Emerging Threats

In this video from Diligent's Education & Templates Library, Dominique Shelton Leipzig, Founder & CEO, Global Data Innovation, examines how AI is changing the cybersecurity landscape for organizations, the cyber vulnerabilities that can emerge when leveraging AI tools and best practices for boards to ensure third-party AI tools are secure.

Navigating the AI Regulatory Landscape

In this video from Diligent's Education & Templates Library, Andrea Bonime-Blanc, CEO, GEC Risk Advisory, Board Member, Advisor & Author of Governing Pandora (2026), examines how boards can stay updated on rapidly evolving AI regulations and compliance obligations, as well as how organizations can work to proactively, rather than reactively, adapt to emerging regulations.

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.