Rebecca George on AI, Bias, and Change Leadership

Organizations everywhere are rushing to implement AI, often measuring success by how many employees are actively using the tools. But treating AI adoption as a simple numbers game completely misses the mark. When speed becomes the primary goal, critical thinking is the first casualty. In this episode, Ben Griswold (Grizen) and Noah Heldman (OutcomeSource) welcome Rebecca George, an expert in organizational change management, AI strategy, and executive development. Rebecca shares a cautionary tale of using AI to synthesize interviews to save eight hours of work, only to spend two weeks cleaning up a political mess caused by algorithmic bias. The conversation explores why traditional change management no longer works, how Employee Resource Groups are the secret weapon for testing AI guardrails, and why parents and individuals must take AI safety into their own hands rather than trusting big tech. Rebecca also pulls from her background in theater to explain how leaders, particularly women in tech, can turn their professional triggers into their greatest superpowers. *In This Episode, You'll Learn:* * Why measuring AI success by license usage is a massive mistake. * The difference between outdated change management and true change leadership. * A real-world example of how AI bias created a stakeholder nightmare. * Why speed is a false currency when it comes to generative AI output. * How to use Employee Resource Groups to rigorously test AI platforms. * How principles from the theater can help you own your space in the boardroom. * The Five Questions: A plea to ban the phrase "human in the loop" and a hilarious story involving a major wardrobe malfunction in front of a college class. *Connect with Us:* * Ben Griswold | Grizen: https://grizen.com * Noah Heldman | OutcomeSource: https://outcomesource.com * Rebecca George | https://takeyourspace.com