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人工智能政策、战略及举措中的伦理与多样性

Ethics and diversity in artificial intelligence policies, strategies and initiatives.

作者信息

Roche Cathy, Wall P J, Lewis Dave

机构信息

Science Foundation Ireland, CRT-AI, Trinity College Dublin, Dublin, Ireland.

ADAPT Centre, Trinity College Dublin, Dublin, Ireland.

出版信息

AI Ethics. 2022 Oct 6:1-21. doi: 10.1007/s43681-022-00218-9.

DOI:10.1007/s43681-022-00218-9
PMID:36246014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9540088/
Abstract

A burgeoning of Artificial Intelligence (AI) technologies in recent years has led to increased discussion about its potential to address many issues considered otherwise intractable, including those highlighted by the United Nations 2030 Agenda for Sustainable Development and associated Sustainable Development Goals. In tandem with this growth in AI is an expanding body of documentation regarding how such advanced technologies should be governed and managed. Issued by a variety of sources and comprising frameworks, policies and guidelines, this body of work encompasses the legal, social, ethical and policy issues around AI. With at least 470 such documents identified, as of May 2021, in the Council of Europe's tracker of AI initiatives, questions are emerging around the diversity of views expressed, especially regarding the influence of the Global North or Euro-American perspectives. Our previous analysis of a corpus of largely grey literature discovered blind spots regarding both gender representation and perspectives from the Global South. Expanding on that work, this paper examines a significantly extended corpus, with a focus on the role of underrepresented groups in the wider AI discourse. We find that voices from the Global South and consideration of alternative ethical approaches are largely absent from the conversation. In light of the prominence of social, cultural and ethical perspectives from the Global North, this paper explores implications for the development of standards for ethical AI. Concluding by offering approaches to incorporate more diverse ethical viewpoints and beliefs, we call for increased consideration of power structures when developing AI ethics policies and standards within these alternative socio-cultural and socio-economic contexts.

摘要

近年来,人工智能(AI)技术的迅速发展引发了人们对其解决诸多原本被认为棘手问题的潜力的更多讨论,包括联合国《2030年可持续发展议程》及相关可持续发展目标所强调的问题。与人工智能的这种发展同步的是,关于如何管理和治理此类先进技术的文献也在不断增多。这些文献由各种来源发布,包括框架、政策和指南,涵盖了围绕人工智能的法律、社会、伦理和政策问题。截至2021年5月,在欧洲委员会的人工智能倡议追踪器中已确定至少470份此类文件,围绕所表达观点的多样性,尤其是关于全球北方或欧美观点的影响,问题也随之出现。我们之前对大量灰色文献的分析发现,在性别代表性和全球南方观点方面存在盲点。在此基础上,本文研究了一个大幅扩展的文献库,重点关注代表性不足群体在更广泛的人工智能讨论中的作用。我们发现,全球南方的声音以及对替代伦理方法的考虑在讨论中基本缺失。鉴于全球北方社会、文化和伦理观点的突出地位,本文探讨了其对人工智能伦理标准制定的影响。通过提出纳入更多样化伦理观点和信念的方法得出结论,我们呼吁在这些不同的社会文化和社会经济背景下制定人工智能伦理政策和标准时,更多地考虑权力结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/ff260f028729/43681_2022_218_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/1f17d219e7fa/43681_2022_218_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/50c1967907d9/43681_2022_218_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/ff260f028729/43681_2022_218_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/1f17d219e7fa/43681_2022_218_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/50c1967907d9/43681_2022_218_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4278/9540088/ff260f028729/43681_2022_218_Fig3_HTML.jpg

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