Published Feb 2, 2023

Steve Miller: Will AI Take Your Job? It's Not So Simple.

Steve Miller delves into the nuanced relationship between AI and employment, examining how machine learning models challenge traditional work roles while presenting opportunities for human augmentation. He also addresses the complexities organizations face with AI integration, advocating for a thoughtful approach to merging technological progress with societal responsibility.

Episode Highlights

Topics covered

Episode Highlights

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Steve Miller: Will AI Take Your Job? It's Not So Simple.

Topics covered

Popular Clips

Automation vs Augmentation

AI Adoption Challenges

The Cost of Progress

Bridging the Gap

Labor Displacement

Understanding ML Assumptions

Achieving Balance

The Simultaneity of Adaptability

Driving Progress Responsibly

Importance of New Work

The Impact of Noise

Bridging Organizational Learning

Closing Thoughts

The Future of AI

Episode Highlights

Technological Evolution

Organizational Challenges

AI and Employment

Related Episodes

Stuart Russell: The Foundations of Artificial Intelligence

Miles Brundage on AI Misuse and Trustworthy AI

Nicholas Thompson: AI and Journalism

Michael Levin & Adam Goldstein: Intelligence and its Many Scales

Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

Ben Green: "Tech for Social Good" Needs to Do More

Sergey Levine on Robot Learning & Offline RL

Terry Winograd: AI, HCI, Language, and Cognition

Andrew Lee: How AI will Shape the Future of Email

Luis Voloch: AI and Biology

Scott Aaronson: Against AI Doomerism

Daniel Situnayake: AI on the Edge

Linus Lee: At the Boundary of Machine and Mind

Chip Huyen: Machine Learning Tools and Systems

David Chalmers on AI and Consciousness

Steve Miller: Will AI Take Your Job? It's Not So Simple.

Topics covered

Popular Clips

Episode Highlights

Technological EvolutionSteve Miller explores the assumptions behind machine learning models and their implications for real-world applications. He discusses the evolving interplay between human and machine intelligence and the future challenges and opportunities in AI development.

Technological Evolution

Organizational Challenges

AI and EmploymentSteve Miller, Professor Emeritus of Information Systems, explores the impact of AI on the workforce, drawing parallels with past industrial revolutions. He discusses the balance between automation and augmentation, and the emergence of new job roles requiring advanced skills.

AI and Employment

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