[论文解读] Artificial Intelligence for Social Good

Gregory D. Hager, Ann W. Drobnis+9 more|arXiv (Cornell University)|Jan 16, 2019

Health, Environment, Cognitive Aging参考文献 38被引用 68

一句话总结

本文报道了一个公开工作坊（2016）由CCC、OSTP和AAAI联合主办，考察人工智能如何在城市计算、健康、环境和公共福利方面推动社会善行的机会与挑战。

ABSTRACT

The Computing Community Consortium (CCC), along with the White House Office of Science and Technology Policy (OSTP), and the Association for the Advancement of Artificial Intelligence (AAAI), co-sponsored a public workshop on Artificial Intelligence for Social Good on June 7th, 2016 in Washington, DC. This was one of five workshops that OSTP co-sponsored and held around the country to spur public dialogue on artificial intelligence, machine learning, and to identify challenges and opportunities related to AI. In the AI for Social Good workshop, the successful deployments and the potential use of AI in various topics that are essential for social good were discussed, including but not limited to urban computing, health, environmental sustainability, and public welfare. This report highlights each of these as well as a number of crosscutting issues.

研究动机与目标

• 推动公众就AI和ML如何促进社会福利进行对话。
• 识别各社会领域的成功部署和潜在应用。
• 强调实现公众福利的AI所面临的挑战、障碍与机会。

提出的方法

• 描述工作坊设置与参与者。
• 综合关于城市计算、健康、环境可持续性与公共福利等主题的讨论。
• 强调跨领域问题与负责任的AI部署考量。

实验结果

研究问题

• RQ1 工作坊所识别的对社会善的成功AI部署有哪些？
• RQ2 在城市计算、健康、环境可持续性和公共福利中应用AI存在哪些机会与挑战？
• RQ3 为实现对社会有益且负责任有效的AI，需要解决哪些跨领域问题？
• RQ4 公众对话与政策如何影响未来的AI研究与社会善的部署？

主要发现

• AI有潜力通过工作坊讨论的部署在城市计算、健康、环境和公共福利方面产生影响。
• 跨领域的机遇和挑战为未来的AI研究和政策提供指导。
• 强调跨领域问题（如伦理、治理、隐私、可扩展性）是对社会善负Responsible的AI的关键。
• 该报告为将研究议程与社会需求和政策考虑对齐奠定基础。