In this episode of the WorkLab podcast, host Molly Wood interviews Cassie Kozyrkov, a statistician, decision-making expert, and founder of Decision Intelligence, about the discipline of turning information into better action. Cassie discusses how people often make decisions based on data-inspired feelings rather than truly data-driven insights, emphasizing the importance of pre-committing to a decision-making structure before analyzing data to avoid confirmation bias. They explore the challenges and opportunities presented by generative AI, including the concept of "endless right answers" and the need for humans to define what "good" means in various contexts. Cassie shares her insights on bridging the gap between individual value and organizational ROI with AI, and the importance of leaders setting clear goals and criteria for success. She also touches on the balance between automating repetitive tasks ("thunking") and preserving space for creative thinking in the workplace, and how AI can augment human capabilities like memory and language.
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