AI systems are only as fair as the people, data, and decisions behind them — and in this episode of The AI Talk Show, Asha Saxena explores what it truly takes to build trustworthy AI. With guest Nancy Morgan, former U.S. Intelligence Community Chief Data Officer, the conversation digs into why bias emerges in AI systems, how it amplifies existing societal blind spots, and why technical tools alone cannot solve the problem. From IBM’s Watson OpenScale to AI Fairness 360, the episode highlights how emerging platforms are helping organizations detect, monitor, and mitigate algorithmic bias — while also underscoring the need for diverse teams who understand the lived realities that data can’t always see.
Viewers are invited to rethink AI development not as a purely technical process, but as a leadership responsibility shaped by governance, culture, ethics, and policy. The episode explores the growing landscape of global regulations, the importance of ongoing model oversight, and the role of leaders in ensuring equitable outcomes from hiring to compensation to decision-making. This discussion encourages organizations to approach AI with both ambition and accountability, recognizing that fairness is not an afterthought — it is foundational to trustworthy innovation.
The AI Talk Show – Season 1, Episode 5
Host: Asha Saxena, CEO, Women Leaders in Data & AI (WLDA)
Featured Guest: Nancy Morgan, Former U.S. Intelligence Community Chief Data Officer & National Security Executive
Duration: 23 minutes
