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An Ontology for Fairness Metrics
4 references·3 citing·26 second hop
An Ontology for Fairness Metrics (2022)An Ontology for Fairness MetricsAmazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…The Problem of Fairness in Synthetic Healthcare Data (2021)The Problem of Fairness in Sy…On the Applicability of Machine Learning Fairness Notions (2021)On the Applicability of Machi…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Navigating fairness aspects of clinical prediction models (2025)Navigating fairness aspects o…Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability (2024)Towards a Responsible AI Metr…Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles (2023)Unmasking Nationality Bias: A…Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Machine learning fairness notions: Bridging the gap with real-world applications (2021)Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness (2023)Survey on fairness notions and related tensions (2023)Certifying and Removing Disparate Impact (2015)The Disproportionate Impact of COVID-19 on Racial and Ethnic Minorities in the United States (2020)Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare (2022)Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review (2024)Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities (2025)Bias in computer systems (1996)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)StereoSet: Measuring stereotypical bias in pretrained language models (2021)Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development (2006)Model Cards for Model Reporting (2019)Closing the AI accountability gap (2020)A systemic perspective on bridging the principles-to-practice gap in creating ethical artificial intelligence solutions – a critique of dominant narratives and proposal for a collaborative way forward (2024)Dissecting racial bias in an algorithm used to manage the health of populations (2019)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2021The Problem of Fairness in Synthetic Healthcare Data92 cited
  • 2021On the Applicability of Machine Learning Fairness Notions72 cited

Cited by

  • 2025Navigating fairness aspects of clinical prediction models26 cited
  • 2024Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability25 cited
  • 2023Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles14 cited

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