Trustworthy AI : De-risk business adoption of AI
Description: Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized. We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs.
McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more.
Trustworthy AI : De-risk business adoption of AI
Mythos & Board Readiness: De-Risking AI Adoption (with Diana Wu David)
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AI risk is moving faster than traditional governance, monitoring, and board oversight cycles can absorb. The frameworks most enterprises have in place were not built for the velocity of generative and agentic AI, and the gap between adoption and oversight is widening every quarter.
In this episode of the Trustworthy AI Podcast, host Pamela Gupta sits down with Diana Wu David, Director at ServiceNow Futures and the world's #1 ranked global futurist, to dig into what real board readiness for AI looks like in 2026.
The conversation covers:
• Why traditional risk and audit cycles can no longer keep pace with AI deployment • What boards need to understand about agentic AI risk and accountability • How the Mythos framework helps enterprises de-risk AI adoption without slowing it down • The role of governance scorecards in enabling business velocity rather than blocking it • Where the futurist lens and the governance lens converge on the next 24 months of AI risk
ABOUT THE GUEST Diana Wu David is Director at ServiceNow Futures and a globally recognized futurist, author, and speaker on the future of work, leadership, and emerging technology.
ABOUT THE HOST Pamela Gupta is the Founder of Trusted AI and creator of the AI TIPS framework, a strategic AI Governance Framework she built in 2019, four years before NIST AI RMF existed. She is the 2025 ISACA Joseph J. Wasserman Award recipient and ranks consistently among Thinkers360's global leaders in Cybersecurity and AI Risk.
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Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.
Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.
Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.
For questions or comments on this podcast reach out to me.
