As AI grows more powerful, so do the threats that surround it. From deepfakes and model inversion attacks to regulatory audits and bias litigation, the stakes are rising—and leaders can no longer afford to separate innovation from governance.
In this high-stakes episode of The AI Talk Show, Asha Saxena, Founder & CEO of WLDA, is joined by Dr. Ava-Marie, former CTO of AI at IBM and Partner in Data & AI at EY, for a deep conversation on how organizations can scale AI with intention, accountability, and trust. Drawing on her career spanning government, finance, and global consulting, Dr. Ava shares critical insights into where enterprises are vulnerable—and how they can get secure and stay compliant without slowing down innovation.
This session is essential viewing for board leaders, CISOs, CAIOs, CDOs, and transformation executives working at the intersection of AI, risk, and trust.
You’ll learn:
- How to design AI governance frameworks that support innovation while ensuring security, transparency, and compliance
- Key AI-specific risks to watch for: deepfakes, prompt injection, model inversion, and data poisoning
- How to operationalize trust across your AI systems—from risk scoring and human-in-the-loop protocols to whistleblower protections and AI playbooks
- Why governance is not a drag on innovation, but the foundation that makes AI scalable, safe, and sustainable
- A call to action: embed ethics, equity, and intention into the architecture—not just the output—of your AI systems
Speaker
Dr. Ava-Marie — Former CTO of AI, IBM | Former Partner, Data & AI, EY
Moderator
Asha Saxena — Founder & CEO, WLDA | The AI Factor Institute
Duration
~34 minutes