In the first of a two-part conversation, Mahesh welcomes Professor Krzysztof Gajos, lead of the Intelligent Interactive Systems Group at Harvard, to challenge the common assumption that human + AI is always better than either alone.

Professor Gajos takes us deep into the fascinating, messy problem space of human-AI collaboration, revealing these configurations to be inherently fragile and contingent. The discussion dissects how specific design failures—including over-reliance on incorrect advice, increased cognitive load, poorly conceived delegation models and interface design—can undermine decision quality, de-skill users and create perverse incentive structures that ultimately undermine the very goals of the systems themselves.

Across this wide-ranging conversation, Professor Gajos’ emphasizes the need for worker-centric AI systems that prioritize human competence, learning and autonomy over clamors for what are all too often superficial efficiency gains. Discover why thoughtful AI design must start with a deep understanding of the cognitive work people actually perform.

Let's geek out.

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