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全球人工智能伦理:对200项人工智能治理指南和建议的综述。

Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance.

作者信息

Corrêa Nicholas Kluge, Galvão Camila, Santos James William, Del Pino Carolina, Pinto Edson Pontes, Barbosa Camila, Massmann Diogo, Mambrini Rodrigo, Galvão Luiza, Terem Edmund, de Oliveira Nythamar

机构信息

Graduate Program in Philosophy, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.

Graduate Program in Philosophy, University of Bonn, Bonn, North Rhine-Westphalia, Germany.

出版信息

Patterns (N Y). 2023 Oct 13;4(10):100857. doi: 10.1016/j.patter.2023.100857.

Abstract

The utilization of artificial intelligence (AI) applications has experienced tremendous growth in recent years, bringing forth numerous benefits and conveniences. However, this expansion has also provoked ethical concerns, such as privacy breaches, algorithmic discrimination, security and reliability issues, transparency, and other unintended consequences. To determine whether a global consensus exists regarding the ethical principles that should govern AI applications and to contribute to the formation of future regulations, this paper conducts a meta-analysis of 200 governance policies and ethical guidelines for AI usage published by public bodies, academic institutions, private companies, and civil society organizations worldwide. We identified at least 17 resonating principles prevalent in the policies and guidelines of our dataset, released as an open source database and tool. We present the limitations of performing a global-scale analysis study paired with a critical analysis of our findings, presenting areas of consensus that should be incorporated into future regulatory efforts.

摘要

近年来,人工智能(AI)应用的使用量经历了巨大增长,带来了诸多益处和便利。然而,这种扩张也引发了伦理问题,如隐私侵犯、算法歧视、安全与可靠性问题、透明度以及其他意外后果。为了确定对于应指导人工智能应用的伦理原则是否存在全球共识,并为未来法规的形成做出贡献,本文对全球公共机构、学术机构、私人公司和民间社会组织发布的200项人工智能使用治理政策和伦理准则进行了荟萃分析。我们确定了数据集中的政策和准则中至少17条普遍存在的共鸣原则,并将其作为开源数据库和工具发布。我们阐述了进行全球规模分析研究的局限性,并对我们的研究结果进行了批判性分析,提出了应纳入未来监管工作的共识领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dc1/10591196/dfac74a6be53/gr1.jpg

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