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  1. Supporting Trustworthy AI Through Machine Unlearning.Emmie Hine, Claudio Novelli, Mariarosaria Taddeo & Luciano Floridi - 2024 - Science and Engineering Ethics 30 (5):1-13.
    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 (...)
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