Department of Legal Studies, University of Bologna, Via Zamboni, 27/29, 40121, Bologna, Italy.
Centre for IT & IP Law, KU Leuven, Sint-Michielsstraat 6, 3000, Leuven, Flanders, Belgium.
Sci Eng Ethics. 2024 Sep 11;30(5):43. doi: 10.1007/s11948-024-00500-5.
Machine unlearning (MU) is often analyzed in terms of how it can facilitate the "right to be forgotten." In this commentary, we show that MU can support the OECD's five principles for trustworthy AI, which are influencing AI development and regulation worldwide. This makes it a promising tool to translate AI principles into practice. We also argue that the implementation of MU is not without ethical risks. To address these concerns and amplify the positive impact of MU, we offer policy recommendations across six categories to encourage the research and uptake of this potentially highly influential new technology.
机器遗忘（MU）通常是从其如何促进“被遗忘的权利”的角度进行分析的。在这篇评论中，我们表明 MU 可以支持经合组织的人工智能可信性五项原则，这些原则正在影响全球人工智能的发展和监管。这使其成为将人工智能原则转化为实践的有前途的工具。我们还认为，MU 的实施并非没有道德风险。为了解决这些问题并放大 MU 的积极影响，我们提出了六个类别的政策建议，以鼓励这项潜在的高度有影响力的新技术的研究和应用。
