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Private companies, public sector organizations, and academic groups have outlined ethical values they consider important for responsible artificial intelligence technologies.
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Kate Crawford. 2016 · 2016
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Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, and Aziz Huq. 2017 · 2017
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The role and limits of principles in AI ethics: towards a focus on tensions. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society . 195–200
Jess Whittlestone, Rune Nyrup, Anna Alexandrova, and Stephen Cave. 2019 · 2019
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Language (Technology) is Power: A Critical Survey of Bias in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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Overcoming Failures of Imagination in AI Infused System Development and Deployment
Margarita Boyarskaya, Alexandra Olteanu, and Kate Crawford. 2020 · 2020
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Bringing Transparency and Ethics into AI?
Deloitte. 2020 · 2020
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Our Principles
Google. 2020 · 2020
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IBM’s Principles for Trust and Transparency
IBM. 2020 · 2020
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Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . 1–14
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan. 2020 · 2020
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Science as social knowledge
Helen E Longino. 2020 · 2020
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Responsible AI
Microsoft. 2020 · 2020
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Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing. In Proceedings of the 2020 conference on fairness, accountability, and transparency . 33–44
Inioluwa Deborah Raji, Andrew Smart, Rebecca N White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, and Parker Barnes. 2020 · 2020
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Ethics guidelines for trustworthy AI
European Union. 2020 · 2020
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The Values Encoded in Machine Learning Research
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao. 2021 · 2021
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Max Scheler
Zachary Davis and Anthony Steinbock. 2021 · 2021
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How humans judge machines
César A Hidalgo, Diana Orghian, Jordi Albo Canals, Filipa De Almeida, and Natalia Martin. 2021 · 2021
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Increasing Adversarial Uncertainty to Scale Private Similarity Testing
Yiqing Hua, Armin Namavari, Kaishuo Cheng, Mor Naaman, Thomas Ristenpart, and Cornell Tech. 2021 · 2021
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AI reflections in 2020
Anna Jobin, Kingson Man, Antonio Damasio, Georgios Kaissis, Rickmer Braren, Julia Stoyanovich, Jay J Van Bavel, Tessa V West, Brent Mittelstadt, Jason Eshraghian, et al · 2021
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Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
Priyanka Nanayakkara, Jessica Hullman, and Nicholas Diakopoulos. 2021 · 2021
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“Because AI is 100% right and safe”: User Attitudes and Sources of AI Authority in India. In CHI Conference on Human Factors in Computing Systems . 1–18
Shivani Kapania, Oliver Siy, Gabe Clapper, Azhagu Meena SP, and Nithya Sambasivan. 2022 · 2022
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