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A definition, benchmark and database of AI for social good initiatives
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2021-02-17 , DOI: 10.1038/s42256-021-00296-0
Josh Cowls , Andreas Tsamados , Mariarosaria Taddeo , Luciano Floridi

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives.



中文翻译:

用于社会公益活动的AI的定义,基准和数据库

依靠人工智能(AI)交付对社会有益的结果的倡议-AI for Social Good(AI4SG)-处于上升趋势。但是,到目前为止,由于缺乏规范性分析和经验证据,目前了解和促进AI4SG计划的尝试受到了限制。在此观点中,我们通过提供AI4SG的定义并提倡使用联合国的可持续发展目标(SDG)作为追踪AI4SG范围和传播的基准来解决这些限制。我们介绍了使用此基准收集的AI4SG项目数据库,并讨论了一些关键见解,包括不同SDG的解决范围。这种分析使得识别紧迫的问题成为可能,这些问题如果不加以解决,就有可能阻碍AI4SG计划的有效性。

更新日期:2021-02-17
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