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Rohan Paul· @rohanpaul_ai · X·· 12 天前AI 评分48
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Google DeepMind、牛津大学与芝加哥大学的论文探讨AI大量取代工作后政府应如何保护民众,结论是没有单一政策适用于所有情景。再培训等受欢迎方案仅在AI持续创造新岗位时有效,否则只是重新分配剩余工作。论文建议先扩大失业救济与低薪税收抵免,若失业持续则转为保障收入底线,并在劳动者经济份额持续下降时让公民持有公共投资基金份额。

正文

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