Narayanan & Unger propose a research agenda steering AI beyond total labor automation
random_walker · x · 2026-10-16
Princeton's Arvind Narayanan and Stanford economist Gabriel Unger publish "Steering AI Beyond Automation," challenging Silicon Valley's dominant agenda:
- Core question: Is AI fundamentally about automating human labor? The prevailing view says "almost entirely," driven by a technological determinism that equates AGI with fully autonomous capability.
- Their counter: AI, like any technology, can develop in multiple directions—toward human augmentation and amplifying collaborative power of human-AI teams.
- Nuance: They don't oppose all automation, but argue many maximalist total-automation attempts are deeply unpromising on technical and economic grounds, while too much research is devoted to them.
- Root cause: The automation bias stems partly from economic incentives, but more deeply from the intellectual and cultural fabric of computer science as a field.
A research agenda and plan of action advocating a human-AI collaboration focus.
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