Advancing AI Fluency With Grit and Growth Mindset

Gabrielle Kohlmeier is a lawyer, tech whisperer, and transformation executive in a lifelong love affair with growth mindset and sustainable innovation. From building a Fortune 30 legal and policy approach to antitrust, to navigating retail risk, to leading global legal AI adoption and outperforming teams. She helps organizations rightsize risk and turn disruption into strategic value. In this episode… Many companies are rushing to adopt AI tools and publish AI policies, yet far fewer are investing in AI fluency across their workforce. Knowing how to use an AI tool is not the same as understanding what it is doing, what data it collects and uses, and the privacy, security, and compliance obligations that come with using it. Without that level of understanding, organizations risk using AI without fully grasping its impact. So, what does true AI fluency look like in practice?  Organizations spend time creating AI governance policies, and sometimes those policies are not operationalized. Governance then becomes "precious" when it is documented and published but not embedded into how teams actually work. That gap becomes more pronounced when teams lack the AI fluency needed to apply governance to their day-to-day use of AI tools. To be effective, governance needs to be lived, with clear accountability, ongoing feedback loops, and policies and processes regularly revisited as AI use cases evolve. It also requires establishing privacy and security guardrails that allow teams to experiment with AI responsibly, while right-sizing risks.  In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels talk with Gabrielle Kohlmeier, Legal and Innovation Executive, about building AI fluency and operationalizing responsible AI use. Gabrielle explains why AI fluency goes beyond simply using AI tools and requires a deeper understanding of the ethical and legal obligations that come with them. She shares how AI governance often breaks down in practice and what it takes to truly operationalize it, while enabling responsible AI experimentation with clear guardrails. Gabrielle also highlights numerous curated resources to help companies stay grounded as AI evolves and offers a practical privacy tip that applies to everyday internet and AI use.