蒙特利尔AI伦理研究所对欧盟委员会关于AI的白皮书的回应
Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI
摘要：
2020年2月，欧盟委员会（EC）发布了一份题为《论人工智能-欧洲追求卓越和信任的方法》的白皮书。本文概述了欧盟委员会在欧盟推广和采用人工智能（AI）的政策选择。蒙特利尔人工智能伦理研究所（MAIEI）审查了这篇论文，并发表了一份回应，阐述了欧盟委员会建立“卓越生态系统”和“信任生态系统”的计划，以及人工智能、物联网（IoT）和机器人技术的安全和责任影响。MAIEI就上述部分提出了15项建议，包括：1）将重点放在研究和创新社区、成员国和私营部门上; 2）在贸易伙伴的政策与欧盟政策之间建立一致性; 3）分析生态系统中理论框架和方法之间的差距，以建立可信赖的人工智能; 4）关注协调和政策一致性; 5）重点关注促进私人和安全数据共享的机制; 6）创建人工智能研究卓越中心网络，以加强研究和创新社区; 7）通过数字创新中心促进知识转移并发展人工智能专业知识; 8）在关于人工智能系统不透明性的讨论中添加细微差别; 9）创建一个程序，让个人对人工智能系统的决定或输出提出上诉; 10）实施新规则并加强现有法规; 11）禁止使用面部识别技术; 12）让所有人工智能系统遵守类似的标准和强制性要求; 13）确保生物识别系统实现其实施的目的; 14）为不被认为是高风险的系统实施自愿标签制度; 15）任命个人参与监督过程，他们非常了解人工智能系统，并能够传达潜在的风险。
英文摘要：
In February 2020, the European Commission (EC) published a white paper entitled, On Artificial Intelligence - A European approach to excellence and trust. This paper outlines the EC's policy options for the promotion and adoption of artificial intelligence (AI) in the European Union. The Montreal AI Ethics Institute (MAIEI) reviewed this paper and published a response addressing the EC's plans to build an "ecosystem of excellence" and an "ecosystem of trust," as well as the safety and liability implications of AI, the internet of things (IoT), and robotics. MAIEI provides 15 recommendations in relation to the sections outlined above, including: 1) focus efforts on the research and innovation community, member states, and the private sector; 2) create alignment between trading partners' policies and EU policies; 3) analyze the gaps in the ecosystem between theoretical frameworks and approaches to building trustworthy AI; 4) focus on coordination and policy alignment; 5) focus on mechanisms that promote private and secure sharing of data; 6) create a network of AI research excellence centres to strengthen the research and innovation community; 7) promote knowledge transfer and develop AI expertise through Digital Innovation Hubs; 8) add nuance to the discussion regarding the opacity of AI systems; 9) create a process for individuals to appeal an AI system's decision or output; 10) implement new rules and strengthen existing regulations; 11) ban the use of facial recognition technology; 12) hold all AI systems to similar standards and compulsory requirements; 13) ensure biometric identification systems fulfill the purpose for which they are implemented; 14) implement a voluntary labelling system for systems that are not considered high-risk; 15) appoint individuals to the oversight process who understand AI systems well and are able to communicate potential risks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
