Moving from disclosure to substance in AI transparency.

IF 10.8 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Huixin Zhan, Jason H Moore
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引用次数: 0

Abstract

AI disclosure mandates have rapidly become standard in scientific publishing, a genuine success of scholarly self-governance. Yet across 10,000 bioRxiv preprints, disclosure tracks only modestly with code and data sharing. The next phase of policy should pair "whether" with "how," alongside independent transparency requirements.

从披露到人工智能透明度的实质。
人工智能的披露要求已迅速成为科学出版的标准,这是学术自律的真正成功。然而,在一万份bioRxiv预印本中,信息披露只与代码和数据共享密切相关。下一阶段的政策应该将“是否”与“如何”结合起来,同时要求独立的透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
期刊介绍:
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