Rumman Chowdhury (Humane Intelligence): The Need for Discernment

About this episode

Kevin Werbach speaks with Rumman Chowdhury about the need for discernment in AI governance and its impact on work and education.

Kevin Werbach speaks with long-time responsible AI leader Rumman Chowdhury the current environment, in which substantive standards and oversight efforts for AI are taking shape amid a larger anti-regulation wave. Chowdhury distinguishes sharply between frontier labs, where the posture is largely "AI at all costs," and the non-tech enterprises she works with, who are wrestling with how to scale governance bodies that originally reviewed single AI implementations to hundreds of systems, third-party procurement questions, and agentic workloads. She describes the current evaluations market as immature on nearly every dimension, and explains why generic benchmarks rarely translate to enterprise contexts like insurance or auto manufacturing. The conversation then turns to AI's impact on work and education. Her concern is that companies pursuing short-term efficiency by cutting entry-level hiring will face what MIT researchers Caosun and Aral call the "augmentation trap," in which workers' cognitive skills atrophy while new workers never develop them. She offers "discernment" as her 2026 word of the year, discribing the skill -- more than just critical thinking -- we must cultivate and…

People in this episode

Host: Kevin Werbach

Guest: Rumman Chowdhury

Topics covered

• responsible AI
• AI governance
• workforce impact
• education
• AI evaluation
• discernment

Keywords

• AI standards
• governance bodies
• evaluation market
• cognitive skills
• augmentation trap
• Thinking About Thinking

Mentioned in this episode

Organizations: Humane Intelligence PBC, MIT

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