NSERC CREATE in Responsible Development of AI (RAI)

来自瑞尔森、麦吉尔、韦斯特、滑铁卢和UQAM的研究人员组成的财团将开发一个培训计划，为下一代人工智能(AI)专家配备积极的社会、道德、伦理和政策关注的意识，以及设计有影响力的人工智能项目的技能，以改善加拿大人的生活。这一常规的Create计划在设计时充分意识到，人工智能技术可以用于改善福祉、健康、服务和决策的方式，但也可能有无意的副产品，歧视、加剧不平等、侵犯人权、社会分类和破坏民主进程、限制获得服务的机会，并加强对边缘化社区和少数群体的监督和不公平待遇。除了探索人工智能领域的尖端研究外，还将对一批NSE和非NSE学员进行培训，以认识到在纯粹面向商业的项目或由道德不可知论的问题解决和/或出于经济自身利益驱动的项目中部署人工智能创新的社会威胁、挑战和负面影响。培训将涉及偏见、隐私、透明度、监管、治理、安全和司法等问题的理论和实践，以及批判性分析、宣传、知识动员和电子数据交换。该计划将创造180多个年度培训机会，涵盖三个交叉培训流的三个主题研究领域，即人工智能设计伦理、隐私增强分析和人工智能问责。主题研究领域将允许学员从事尖端研究工作，并推动人工智能领域的最新水平。此外，受训者将参与三个培训流，涵盖如何从不同的角度负责任地开发和部署人工智能：政府、公民社会和行业。

A consortium of researchers from Ryerson, McGill, Western, Waterloo and UQAM will develop a training program to equip the next generation of Artificial Intelligence (AI) experts with active awareness of societal, moral, ethical, and policy concerns, as well as the skills to design impactful AI projects for social good to improve the lives of Canadians. This regular-stream CREATE program is designed with full awareness that AI technology can be used in ways that improve well-being, health, services and decision-making, but can also have unintended by-products that discriminate, reinforce inequalities, infringe upon human rights, socially sort and disrupt democratic processes, limit access to services and intensify surveillance and unfair treatment of marginalized communities and minority groups. In addition to exploring cutting-edge research in AI, cohorts of NSE and non-NSE trainees will be coached to recognize the societal threats, challenges and negative impacts of deploying AI innovations in purely business-oriented projects or those driven by ethics-agnostic problem solving and/or out of economic self-interest. The training will cover theoretical and hands-on engagement with issues of bias, privacy, transparency, regulation, governance, security, and justice as well as critical analysis, advocacy, knowledge mobilization and EDI. Creating more than 180 annual training opportunities, the program will cover three thematic research areas in three crosscutting training streams, namely AI Ethics by Design, Privacy-enhanced Analytics, and AI Accountability. The thematic research areas will allow the trainees to pursue cutting edge research work and advance the state of the art in AI. In addition, the trainees will be involved in three training streams that cover how AI should be responsibly developed and deployed from alternative perspectives: government, civil society, and industry.