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文章基本信息

  • 标题:AI: UBI Income Portfolio Adjustment to Technological Transformation
  • 本地全文:下载
  • 作者:Alexandra K. Przegalinska ; Robert E. Wright
  • 期刊名称:Frontiers in Human Dynamics
  • 电子版ISSN:2673-2726
  • 出版年度:2021
  • 卷号:3
  • DOI:10.3389/fhumd.2021.725516
  • 语种:English
  • 出版社:Frontiers Media S.A.
  • 摘要:Positive and normative claims that artificial intelligence (AI) will or should lead to adoption of a universal basic income policy (UBI) remain insufficiently empirically grounded to merit serious consideration. Long-term trends in individual/familial income portfolio adjustment (IPA) to business, economic, and technological change (BETC) point to continued incremental changes in the ways that individuals/families achieve life goals, not a fundamental structural break necessitating radical policy changes that may not be desirable in any event. Moreover, if AI proves a more rapid disruptor than anticipated, UBI-like payments can be made quickly, as recent bailouts and fiscal stimuli demonstrate.
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