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.

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About Dominique Dominique Shelton Leipzig is the CEO and founder of Global Data Innovation Inc. a legal advisory consulting firm dedicated to guiding CEOs and Board Members through strategies to achieve exponential growth with data and minimize harms associated with data misuse. As a former Big Law partner, she has spent over 33 years counseling CEOs, board members and other leaders on smart digital governance. Dominique’s fourth book, Trust: Responsible AI, Innovation, Privacy & Data Leadership won the 2024 getAbstract Business Impact Award. She is the creator of the patent-pending TRUST AI governance framework.

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.

Embedding Trust in AI

In this video from Diligent's Education & Templates Library, Dominique Shelton Leipzig, Founder & CEO, Global Data Innovation, explores the importance of trustworthiness in AI models and provides an overview of her TRUST AI framework, which supports boards and executives in implementing an ethical AI framework.

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.