AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin 等 13 位
University of Oxford The Alan Turing Institute Innovative Cryogenic Engineering (United Kingdom) Agence Nationale de la Recherche
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations-to assess, to develop, to incentivise, and to support good AI-which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
社会科学Ethics and Social Impacts of AI
Neuroethics, Human Enhancement, Biomedical Innovations · Adversarial Robustness in Machine Learning
参考文献 7
此处列出前 3 条
引用本文 3,803
按被引量排序,此处列出前 3 条