集合偏见:超越透明的算法偏见

IF 4.2 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Minds and Machines Pub Date : 2022-06-18 DOI:10.1007/s11023-022-09605-x

R. Waller, Russell L. Waller

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Assembled Bias: Beyond Transparent Algorithmic Bias

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Assembled Bias: Beyond Transparent Algorithmic Bias

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来源期刊

Minds and Machines 工程技术-计算机：人工智能

CiteScore

12.60

自引率

2.70%

发文量

审稿时长

>12 weeks

期刊介绍： Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.