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服务社会公益的人工智能与全球发展的企业掌控

AI for social good and the corporate capture of global development.

作者信息

Iazzolino Gianluca, Stremlau Nicole

机构信息

Global Development Institute, The University of Manchester, Manchester, UK.

Centre for Socio-Legal Studies, Faculty of Law, University of Oxford, Oxford, UK.

出版信息

Inf Technol Dev. 2024 Feb 16;30(4):626-643. doi: 10.1080/02681102.2023.2299351. eCollection 2024.

DOI:10.1080/02681102.2023.2299351
PMID:39508029
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11537297/
Abstract

This article focuses on the AI for Social Good (AI4SG) movement, which aims to leverage Artificial Intelligence (AI) and Machine Learning (ML) to achieve the United Nations Sustainable Development Goals (UN SDGs). It argues that, through AI4SG, Big Tech is attempting to advance AI-driven technosolutionism within the development policy and scholarly space creating new opportunities for rent extraction. The article situates AI4SG, within the history of ICT4D. It also highlights the contiguity of AI4SG with the so-called 4th Industrial Revolution (4IR), a framework that places AI and other digital innovations at the center of national and international development and industrial policy agendas. By exploring how Big Tech has attempted to depoliticize datafication, we thus suggest that AI4SG and 4IR are mutually reinforcing discourses that serve the purpose of depoliticizing the development arena by bestowing legitimacy and authority to Big Tech to reshape policy spaces and epistemic infrastructures while inserting themselves, to an unprecedented degree, between the citizen (data) and the state (development and policy).

摘要

本文聚焦于人工智能促进社会公益(AI4SG)运动,该运动旨在利用人工智能(AI)和机器学习(ML)来实现联合国可持续发展目标(UN SDGs)。文章认为,通过AI4SG,大型科技公司正试图在发展政策和学术领域推进人工智能驱动的技术解决主义,从而创造新的租金获取机会。本文将AI4SG置于信息通信技术促进发展(ICT4D)的历史背景中进行探讨。它还强调了AI4SG与所谓的第四次工业革命(4IR)之间的紧密联系,4IR这一框架将人工智能和其他数字创新置于国家和国际发展及产业政策议程的核心位置。通过探究大型科技公司如何试图使数据化非政治化,我们进而认为,AI4SG和4IR是相互强化的话语体系,它们通过赋予大型科技公司重塑政策空间和认知基础设施的合法性与权威性,同时以前所未有的程度介入公民(数据)与国家(发展和政策)之间,从而达到使发展领域非政治化的目的。

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本文引用的文献

1
Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms.迈向算法审计:管理人工智能、机器学习及相关算法的法律、伦理和技术风险。
R Soc Open Sci. 2024 May 15;11(5):230859. doi: 10.1098/rsos.230859. eCollection 2024 May.
2
The growing influence of industry in AI research.工业界在人工智能研究中的影响力日益增强。
Science. 2023 Mar 3;379(6635):884-886. doi: 10.1126/science.ade2420. Epub 2023 Mar 2.
3
AI for social good: unlocking the opportunity for positive impact.人工智能造福社会:释放积极影响的机遇。
Nat Commun. 2020 May 18;11(1):2468. doi: 10.1038/s41467-020-15871-z.
4
The role of artificial intelligence in achieving the Sustainable Development Goals.人工智能在实现可持续发展目标中的作用。
Nat Commun. 2020 Jan 13;11(1):233. doi: 10.1038/s41467-019-14108-y.
5
Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?人工智能与全球健康:人工智能如何助力资源匮乏地区的健康事业?
BMJ Glob Health. 2018 Aug 29;3(4):e000798. doi: 10.1136/bmjgh-2018-000798. eCollection 2018.