Google DeepMind 联合牛津、芝加哥大学论文探讨 AI 大量取代工作后政府应如何保障民众,结论是没有任何单一政策在所有情景下都有效。人们最青睐的再培训只在 AI 持续创造新岗位时有用,否则只是重新分配剩余岗位。作者建议现在扩大失业救济与低薪税收抵免,若失业持续则将其转为收入保障底线,若劳动者经济份额继续下滑则让公民持有公共投资基金份额。
This Google Deep Mind + Oxford + Chicago Univ paper asks how governments should protect people if AI takes over a lot of jobs.
Concludes that no single policy works in every scenario, because the ideas people like most, such as retraining, only help if AI keeps creating new jobs, otherwise it just reshuffles who gets the jobs left.
The authors' answer is to expand unemployment benefits and the low-wage tax credit now, turn that credit into a guaranteed income floor if joblessness drags on, and give citizens stakes in a public investment fund if workers' share of the economy keeps falling.
来源:Rohan Paul · x.com