Proceedings of the 2021 ACM Conference on Fairness, Accountability, and TransparencyUnknown author2021-02-24other541 citationsclosedNo readable copy stored yet — this record is metadata only.Ethics and Social Impacts of AIPrivacy-Preserving Technologies in DataExplainable Artificial Intelligence (XAI)AbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 541 citations exist upstream.Cited by2020Data and its (dis)contents: A survey of dataset development and use in machine learning research2020Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics2021Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice2023Can linguists distinguish between ChatGPT/AI and human writing?: A study of research ethics and academic publishing2022The flaws of policies requiring human oversight of government algorithms2022How transparency modulates trust in artificial intelligence2023Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey2022A clarification of the nuances in the fairness metrics landscape