论文标题
蒙特利尔AI道德研究所对苏格兰人工智能战略的回应
Montreal AI Ethics Institute's Response to Scotland's AI Strategy
论文作者
论文摘要
在2020年1月和2月，苏格兰政府发布了两份有关其人工智能（AI）策略的文件，以供公众审查。蒙特利尔AI伦理研究所（MAIEI）审查了这些文件，并于2020年6月4日发布了回应。Maiei的回答研究了几个问题，这些问题涉及拟议的AI定义；以人为中心的战略本质；考虑因素，以确保每个人都从AI中受益；该策略的总体愿景；苏格兰的AI生态系统；拟议的战略主题；以及如何通过建立负责任和道德体系来增强公众对AI的信心。 除了检查上述要点外，Maiei还建议将策略扩展到包括生物识别数据的考虑以及如何在AI背景下处理和使用的策略。它还强调了直接解决深度学习系统固有的随机性质和制定具体指南的重要性，以确保这些系统在负责任和道德上构建，尤其是随着机器学习变得更加易于访问。最后，它得出的结论是，任何国家AI战略都必须清楚地解决成功衡量策略既定的目标和愿景，以确保它们得到始终如一地解释和应用。为此，建立系统的人与在工作中使用它们的人之间必须具有包容性和透明度。
In January and February 2020, the Scottish Government released two documents for review by the public regarding their artificial intelligence (AI) strategy. The Montreal AI Ethics Institute (MAIEI) reviewed these documents and published a response on 4 June 2020. MAIEI's response examines several questions that touch on the proposed definition of AI; the people-centered nature of the strategy; considerations to ensure that everyone benefits from AI; the strategy's overarching vision; Scotland's AI ecosystem; the proposed strategic themes; and how to grow public confidence in AI by building responsible and ethical systems. In addition to examining the points above, MAIEI suggests that the strategy be extended to include considerations on biometric data and how that will be processed and used in the context of AI. It also highlights the importance of tackling head-on the inherently stochastic nature of deep learning systems and developing concrete guidelines to ensure that these systems are built responsibly and ethically, particularly as machine learning becomes more accessible. Finally, it concludes that any national AI strategy must clearly address the measurements of success in regards to the strategy's stated goals and vision to ensure that they are interpreted and applied consistently. To do this, there must be inclusion and transparency between those building the systems and those using them in their work.
