复杂的面孔和naïve机器:对人工智能时代年龄、性别和领导者偏好的面部感知的评论。

Q2 Social Sciences

Politics and the Life Sciences Pub Date : 2023-03-01 DOI:10.1017/pls.2021.30

Brian R Spisak

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引用次数: 0

摘要

由人工智能(AI)驱动的任务，如评估视频求职面试，依赖于面部识别系统进行决策。因此，这项技术背后的科学不断进步是极其重要的。否则，视觉上的刻板印象，比如与面部年龄和性别相关的刻板印象，将导致人工智能的危险误用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Complex faces and naïve machines A commentary on facial perceptions of age, gender, and leader preferences in the age of AI.

Tasks driven by artificial intelligence (AI), such as evaluating video job interviews, rely on facial recognition systems for decision-making. Therefore, it is extremely important that the science behind this technology is continually advancing. If not, visual stereotypes, such as those associated with facial age and gender, will lead to dangerous misapplications of AI.

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来源期刊

Politics and the Life Sciences Social Sciences-Sociology and Political Science

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： POLITICS AND THE LIFE SCIENCES is an interdisciplinary peer-reviewed journal with a global audience. PLS is owned and published by the ASSOCIATION FOR POLITICS AND THE LIFE SCIENCES, the APLS, which is both an American Political Science Association (APSA) Related Group and an American Institute of Biological Sciences (AIBS) Member Society. The PLS topic range is exceptionally broad: evolutionary and laboratory insights into political behavior, including political violence, from group conflict to war, terrorism, and torture; political analysis of life-sciences research, health policy, environmental policy, and biosecurity policy; and philosophical analysis of life-sciences problems, such as bioethical controversies.