The Energy of Mental Modeling and the Limits of AI
Kenneth Cukier, senior editor at the Economist, and Viktor Mayer-Schoenberger, professor of Internet Governance and Guidelines at the University of Oxford, argue that because AI systems don’t have any causal model of the realm, they lack the human capability for creativeness and decision-making. Azeem Azhar explores their contention that we must silent no longer depend on AI to supply solutions to our complications. Reasonably we must silent systematically divulge how we frame our complications in make clear to comprise leap forward insights and enhancements — then mutter AI to aid elevate out these solutions.
To boot they talk about:
- How “reframing” used applied sciences unleashed advances for SpaceX, Apple, Spotify and others.
- How staunch framing empowered Unusual Zealand Prime Minister Jacinda Ardern to fight Covid-19 in her country.
- Why you mustn’t contemplate “start air the sphere,” nevertheless as a replace “swap bins.”
@kncukier
@Viktor_MS
@azeem
@ExponentialView
Further resources:
- “You Can Fabricate Better Choices by Inserting Issues in a Unusual Body” (Bloomberg, 2021)
- “11 Myths About Resolution-Making” (Harvard Industry Evaluate, 2021)
- “Past Deep Studying with Gary Marcus” (Exponential Judge podcast, 2019)
HBR Affords is a network of podcasts curated by HBR editors, bringing you most seemingly the greatest industry suggestions from the leading minds in administration. The views and opinions expressed are exclusively these of the authors and elevate out no longer basically contemplate the respectable protection or field of Harvard Industry Evaluate or its affiliates.