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将人工智能参与降低到规模

David Moats^1,2, Chandrima Ganguly³

¹University of Helsinki, P.O. Box 3, 00014 Helsinki, Finland.

Patterns (New York, N.Y.)

|June 9, 2025

概括

开放AI资助团队探索公众参与生成人工智能 (AI). 该项目揭示了隐秘的假设,表明了未来人工智能开发的更广泛的外部投入.

科学领域:

人工智能的人工智能
公共政策公共政策
技术伦理技术道德

背景情况:

开放AI的民主输入计划在2023年启动了一个项目.
资助了10个团队,以开发生成性AI的公众参与程序.
这项研究提供了对该项目的成果的视角.

研究的目的:

审查OpenAI的民主输入计划的结果.
确定资助参与项目的共同的隐含假设.
倡导人工智能开发中的多样化和外部参与模式.

主要方法:

审查来自OpenAI的民主输入计划项目的项目成果.
与参与团队的采访.
对所进行的参与演习进行分析.

主要成果:

在10个团队中确定了几种常见的,未陈述的假设.
对人工智能公共参与倡议的实际挑战和成功的洞察力.
理解当前参与框架的局限性.

结论:

该项目强调了需要更明确和多样化的方法来获得公众对人工智能的意见.
鼓励采用其他参与模式,特别是来自技术行业以外的参与模式.
未来的AI治理可以从更广泛的社会参与中受益.

关键词:

在这里,我们可以看到AIAIAI.在法律上,LLMs.开放AI是一个开放的AI.一致的共识共识.民主民主民主民主民主参与参与参与参与参与.这是一个规模的尺度,规模的尺度.价值调整价值调整是什么意思价值观的价值观的价值观.

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