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arXiv 2009.09071cs.CY
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AI政策中的测量:机遇与挑战

Measurement in AI Policy: Opportunities and Challenges

Saurabh Mishra, Jack Clark, C. Raymond Perrault

摘要:

随着人工智能越来越多地影响我们的世界,评估其技术进步和社会影响变得至关重要。本文基于2019年秋季在斯坦福大学举行的研讨会,调查了人工智能系统及其影响的测量中存在的问题和机会。我们总结了衡量人工智能进展和影响所固有的六个挑战,并总结了研讨会上的40多个演讲和相关讨论。我们希望这能激发这一关键领域的研究议程。

英文摘要:

As artificial intelligence increasingly influences our world, it becomes crucial to assess its technical progress and societal impact. This paper surveys problems and opportunities in the measurement of AI systems and their impact, based on a workshop held at Stanford University in the fall of 2019. We identify six summary challenges inherent to measuring the progress and impact of AI, and summarize over 40 presentations and associated discussions from the workshop. We hope this can inspire research agendas in this crucial area.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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