How Learning About Harms Impacts the Optimal Rate of Artificial Intelligence Adoption
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https://www.nber.org/papers/w32105
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资源简介：
This paper examines recent proposals and research suggesting that AI adoption should be delayed until its potential harms are properly understood. It is shown that conclusions regarding the social optimality of delayed AI adoption are sensitive to assumptions regarding the process by which
提供机构：
美国国家经济研究局
创建时间：
2024-02-01
