论文标题
对加拿大隐私专员咨询建议的回应，与人工智能有关的PIPEDA修正案
Response to Office of the Privacy Commissioner of Canada Consultation Proposals pertaining to amendments to PIPEDA relative to Artificial Intelligence
论文作者
论文摘要
2020年2月，蒙特利尔AI伦理研究所（MAIEI）受到加拿大隐私专员办公室（OPCC）的邀请，在封闭的圆桌会议上均应在封闭式圆桌会议上发表评论，并在opcc咨询咨询提案中相对于人工智能（AI）（AI），授予加拿大的个人信息保护立法和电子信息保护和电子文档（PIPEDA）。本文档包括Maiei评论和书面建议。 Per Maiei的使命和任务是作为与AI伦理和监管技术发展有关的公共反馈的催化剂，以及为这些领域中关键主题的公共能力建设讲习班提供，读者还将找到参加Maiei工作的公共反馈和主张，这些公共反馈和主张参与了Maiei的工作时间，并提交了计划的时间表，并提交了时间表，即附表1。对于OPCC 12的提案和其网站上所述的基本问题，Maiei提供了简短的答复，建议的摘要列表以及与手头问题有关的评论。我们为您提供三个一般性陈述，以仔细阅读下一个页面： 1）应使用AI系统来增强人类建立有意义和有目的的联系和关联的能力，而不是替代信任。 2）人类已共同接受以维护法治，但是对于机器来说，该代码是规则。在部署社会技术系统以做出有关个人的重要决策，概况或推论的地方，我们将越来越需要以机器可学到的方式进行艰难地行使起草和编码我们的法律。 3）在我们的社会技术系统变得“太连接到失败”之前，让我们朝着一个负责人AI成为规则的世界集体努力。
In February 2020, the Montreal AI Ethics Institute (MAIEI) was invited by the Office of the Privacy Commissioner of Canada (OPCC) to provide for comments both at a closed roundtable and in writing on the OPCC consultation proposal for amendments relative to Artificial Intelligence (AI), to the Canadian privacy legislation, the Personal Information Protection and Electronic Documents Act (PIPEDA). The present document includes MAIEI comments and recommendations in writing. Per MAIEI's mission and mandate to act as a catalyst for public feedback pertaining to AI Ethics and regulatory technology developments, as well as to provide for public competence-building workshops on critical topics in such domains, the reader will also find such public feedback and propositions by Montrealers who participated at MAIEI's workshops, submitted as Schedule 1 to the present report. For each of OPCC 12 proposals, and underlying questions, as described on its website, MAIEI provides a short reply, a summary list of recommendations, as well as comments relevant to the question at hand. We leave you with three general statements to keep in mind while going through the next pages: 1) AI systems should be used to augment human capacity for meaningful and purposeful connections and associations, not as a substitute for trust. 2) Humans have collectively accepted to uphold the rule of law, but for machines, the code is rule. Where socio-technical systems are deployed to make important decisions, profiles or inferences about individuals, we will increasingly have to attempt the difficult exercise of drafting and encoding our law in a manner learnable by machines. 3) Let us work collectively towards a world where Responsible AI becomes the rule, before our socio-technical systems become "too connected to fail".
