Bob Pulver, host of the Elevate Your AIQ podcast and a 25-year enterprise tech and innovation veteran, joins us this week to unpack the urgent need to move past "AI" as a buzzword and define what "Responsible AI" truly means for organizations. He shares his insights on why we are all responsible for AI, how to balance playing "defense" (risk mitigation) and "offense" (innovation), and why we must never outsource our critical thinking and human agency to these new tools. [0:00] Introduction Welcome, Bob! Today’s Topic: Defining Responsible AI and Responsible Innovation [12:25] What Does “Responsible AI” Mean? Why elements (like fairness in decision-making, data provenance, and privacy) must be built-in "by design," not bolted on later. In an era where everyone is a "builder," we are all responsible for the tools we use and create. [25:48] The Two Sides of Responsible Innovation The "responsibility" side involves mitigating risk, ensuring fairness, and staying human-centric—it’s like playing defense. The "innovation" side involves driving growth, entering new markets, and reinvesting efficiency gains—it’s like playing offense. [41:58] Why don’t we use AI to give us a 4-day work week? The critical need for leaders to separate their personal biases from data-driven facts. AI’s role in recent layoffs. [50:27] Closing Thanks for listening! Quick Quote “We're all responsible for Responsible AI, whatever your role is. You're either using it or abusing it . . . or you're building it or you're testing it.”