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On the Legal Compatibility of Fairness Definitions., and . CoRR, (2019)Machine Learning Explainability for External Stakeholders, , , and . (2020)cite arxiv:2007.05408.Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users., , , , , , , , , and . CoRR, (2022)A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms., , , , , , and . CoRR, (2021)Considerations for Ethical Speech Recognition Datasets., and . WSDM, page 1287-1288. ACM, (2023)Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty., , , , , , , , , and 5 other author(s). AIES, page 401-413. ACM, (2021)Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators., , and . CoRR, (2024)Promises and Challenges of Causality for Ethical Machine Learning., and . CoRR, (2022)A View From Somewhere: Human-Centric Face Representations., , and . ICLR, OpenReview.net, (2023)Men Also Do Laundry: Multi-Attribute Bias Amplification., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42000-42017. PMLR, (2023)