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Keyword

algorithmic auditing

Description: Algorithmic auditing is the systematic examination of algorithms and automated systems to evaluate their performance, transparency, fairness, and accountability.
OpenAlex ID: keywords/algorithmic-auditing
Closing the AI accountability gap
2020 · Inioluwa Deborah Raji, Andrew Smart, et al. · 1,417
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Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *
2022 · Jeffrey Dastin · Auerbach Publications eBooks · 1,165
Actionable Auditing
2019 · Inioluwa Deborah Raji, Joy Buolamwini · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 648
Fairness of artificial intelligence in healthcare: review and recommendations
2023 · Daiju Ueda, Taichi Kakinuma, et al. · Japanese Journal of Radiology · 597
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The uselessness of AI ethics
2022 · Luke Munn · AI and Ethics · 372
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Augmenting the algorithm: Emerging human-in-the-loop work configurations
2020 · Tor Grønsund, Margunn Aanestad · The Journal of Strategic Information Systems · 358
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Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law
2018 · Philipp Hacker · Common Market Law Review · 316
AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development
2025 · Petar Radanliev · Applied Artificial Intelligence · 300
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Saving Face
2020 · Inioluwa Deborah Raji, Timnit Gebru, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 296
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CheXclusion: Fairness gaps in deep chest X-ray classifiers
2020 · Laleh Seyyed-Kalantari, Guanxiong Liu, et al. · Pacific Symposium on Biocomputing (PSB) · 275
Governing Artificial Intelligence to benefit the UN Sustainable Development Goals
2020 · Jon Truby · Sustainable Development · 264
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The Ethical Algorithm: The Science of Socially Aware Algorithm Design
2021 · Michael Kearns, Aaron Roth · Perspectives on Science and Christian Faith · 258
The medical algorithmic audit
2022 · Xiaoxuan Liu, Ben Glocker, et al. · The Lancet Digital Health · 238
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Treating health disparities with artificial intelligence
2020 · Irene Y. Chen, Shalmali Joshi, et al. · Nature Medicine · 233
Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations
2021 · Jakob Mökander, Jessica Morley, et al. · Science and Engineering Ethics · 216
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Bias detectives: the researchers striving to make algorithms fair
2018 · Rachel Courtland · Nature · 204
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The algorithm audit: Scoring the algorithms that score us
2021 · Shea Brown, Jovana Davidovic, et al. · Big Data & Society · 203
The ethics of facial recognition technologies, surveillance, and accountability in an age of artificial intelligence: a comparative analysis of US, EU, and UK regulatory frameworks
2021 · Denise Almeida, Konstantin Shmarko, et al. · AI and Ethics · 201
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Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
2022 · Sasha Costanza-Chock, Inioluwa Deborah Raji, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 194
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Problematic Machine Behavior
2021 · Jack Bandy · Proceedings of the ACM on Human-Computer Interaction · 193
Multiaccuracy
2019 · Michael P. Kim, Amirata Ghorbani, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 189
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Millions of black people affected by racial bias in health-care algorithms
2019 · Heidi Ledford · Nature · 187
Big Data and discrimination: perils, promises and solutions. A systematic review
2019 · Maddalena Favaretto, Eva De Clercq, et al. · Journal Of Big Data · 186
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
2020 · Raji, Inioluwa Deborah, Smart, Andrew, et al. · arXiv (Cornell University) · 179
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Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics
2020 · Bo Cowgill, Fabrizio Dell'Acqua, et al. · ACM Conference on Economics and Computation (EC) · 174
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Works count: 2,284
Citation count: 17,310
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