Unger and Narayanan urge AI development toward human-AI collaboration
Overview
Gabriel Unger and Arvind Narayanan argue that the dominant Silicon Valley AI program targets full automation of human labor, and that AI could instead develop toward augmenting people.
They propose a research agenda covering white-box agents, low-latency interaction, continuous human-agent collaboration, and evaluation of joint human-AI performance.
Their proposed ways to shift the field's direction are bottom-up market experimentation and targeted policy. The source does not report any adoption of this agenda or measured results from it.
Written by AI from the articles below · updated Oct 14, 4:49 PM ET
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- AI Snake OilBlogGabriel Unger and Arvind Narayanan argue AI should steer toward human-AI collaboration
AIGabriel Unger and Arvind Narayanan argue that the dominant Silicon Valley program aims at full automation of human labor, while AI could also develop toward human augmentation. They propose a research agenda covering white-box agents, low-latency interaction, continuous human-agent collaboration, and evaluation of joint human-AI performance. They also suggest bottom-up market experimentation and targeted policy as ways to shift the field's direction.
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