Lesson 6: Key Skills to Hone for the AI Age | Daphne Koller

When new technologies arrive, people often focus first on what (or who) they might replace. But as insitro CEO and AI expert Daphne Koller reminds us, history suggests that’s only half the story. For everything that wanes, there’s often something of value gained in return. In this video lesson, Koller brings hopeful insights to the nuanced conversation about skill atrophy in the face of AI. AI may cause old skills to atrophy as it does more things for us. This isn’t necessarily a problem. We can discover new skills that are more meaningful than those we lose. Consider how to develop your: Long-term strategic thinking Questioning Creativity © Freethink Media Inc., All Rights Reserved. ---------------------------------------------------------------------------------- Go Deeper with Big Think: ►Become a Big Think Youtube Member Get exclusive classes and early, ad-free access to new releases without leaving Youtube. https://www.youtube.com/@bigthink/membership/ ►Become a Big Think Web Member Get the entire Big Think Class library, premium print issues, live events, and more. https://bigthink.com/membership/ ►Subscribe to Big Think on Substack Get all of your favorite Big Think content delivered to your inbox. https://bigthinkmedia.substack.com/subscribe/ ---------------------------------------------------------------------------------- About Daphne Koller: Daphne Koller is the founder and CEO of insitro, where machine learning is applied to drug discovery and development. She also co-founded the digital learning platforms Coursera and Engageli. Koller spent 18 years as a professor of computer science at Stanford University, earning the Stanford Medal for Excellence in Fostering Undergraduate Research, and now serves as an adjunct faculty member. She was previously chief computing officer at Calico. She was named a MacArthur Fellow in 2004. She's also been inducted into the National Academy of Engineering, the American Academy of Arts and Sciences, the International Society of Computational Biology, and the National Academy of Sciences. She has authored more than 300 peer-reviewed publications in journals including Science and Cell and was named one of TIME’s 100 most influential people in AI in 2024.