How to Design AI for Social Good: Seven Essential Factors
How to Design AI for Social Good: Seven Essential Factors
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DOI：
10.1007/s11948-020-00213-5
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发表时间：
2020-04-03
影响因子：
3.7
通讯作者：
Taddeo, Mariarosaria
中科院分区：
文献类型：
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作者：
Floridi, Luciano;Cowls, Josh;Taddeo, Mariarosaria
人工智能为社会公益服务（以下简称AI4SG）的想法在信息社会，特别是人工智能社区中越来越受欢迎。它有可能通过开发基于人工智能的解决方案来解决社会问题。然而，到目前为止，人们对人工智能在理论上对社会有益的原因、在实践中什么是AI4SG以及如何在政策方面重现其最初的成功只有有限的理解。本文通过确定对未来AI4SG计划至关重要的七个道德因素来解决这一差距。该分析得到了AI4SG项目的27个案例的支持。其中一些因素对人工智能来说几乎是全新的，而其他因素的重要性则因人工智能的使用而得到加强。根据这些因素中的每一个，制定了相应的最佳实践，这些实践在上下文和平衡的前提下，可以作为初步的指导方针，以确保设计良好的人工智能更有可能为社会公益服务。
The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good.