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Measurement and Fairness
8 references·16 citing·46 second hop
Measurement and Fairness (2021)Measurement and FairnessSocial Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Social Data: Biases, Methodol…The Misgendering Machines (2018)The Misgendering MachinesFairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…To Predict and Serve? (2016)To Predict and Serve?How to Analyze Political Attention with Minimal Assumptions and Costs (2009)How to Analyze Political Atte…Objective Tests as Instruments of Psychological Theory (1957)Objective Tests as Instrument…Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations (2024)Tackling algorithmic bias and…REFORMS: Consensus-based Recommendations for Machine-learning-based Science (2024)REFORMS: Consensus-based Reco…Harms from Increasingly Agentic Algorithmic Systems (2023)Harms from Increasingly Agent…Auditing large language models: a three-layered approach (2023)Auditing large language model…The flaws of policies requiring human oversight of government algorithms (2022)The flaws of policies requiri…The Fallacy of AI Functionality (2022)The Fallacy of AI Functionali…Disability, fairness, and algorithmic bias in AI recruitment (2022)Disability, fairness, and alg…Can HR adapt to the paradoxes of artificial intelligence? (2022)Can HR adapt to the paradoxes…Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support (2022)Assessing the Fairness of AI …A survey on bias in visual datasets (2022)A survey on bias in visual da…The Ethics of Emotion in Artificial Intelligence Systems (2021)The Ethics of Emotion in Arti…Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets (2021)Stereotyping Norwegian Salmon…Measuring algorithmically infused societies (2021)Measuring algorithmically inf…Gender Bias in Machine Translation (2021)Gender Bias in Machine Transl…Towards a critical race methodology in algorithmic fairness (2020)Towards a critical race metho…An empirical characterization of fair machine learning for clinical risk prediction (2020)An empirical characterization…Theory of Mental Tests (1950)Construct validity in psychological tests. 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(1984)Basic Content Analysis (1990)A Method of Automated Nonparametric Content Analysis for Social Science (2009)A Model of Text for Experimentation in the Social Sciences (2016)Content Analysis: An Introduction to Its Methodology (2019)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)A Survey on Bias and Fairness in Machine Learning (2021)Birds of a Feather: Homophily in Social Networks (2001)Designing and Conducting Mixed Methods Research (2010)Constructing grounded theory (2014)Detection and Resolution of Rumours in Social Media (2018)A Survey of Fake News (2020)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)Big Data's Disparate Impact (2014)Fairness definitions explained (2018)Machine behaviour (2019)Invisible Lives: The Erasure of Transsexual and Transgendered People (2002)Algorithms of Oppression (2018)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Saving Face (2020)Towards a standard for identifying and managing bias in artificial intelligence (2022)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)American Apartheid: Segregation and the Making of the Underclass. 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Disciplinary Values in Computer Vision Dataset Development (2021)Re-imagining Algorithmic Fairness in India and Beyond (2021)A typology of reviews: an analysis of 14 review types and associated methodologies (2009)The global landscape of AI ethics guidelines (2019)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Auditing of AI: Legal, Ethical and Technical Approaches (2023)Bias and ethics of AI systems applied in auditing - A systematic review (2024)Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models (2024)The Measure and Mismeasure of Fairness (2018)Boundary Work among Groups, Occupations, and Organizations: From Cartography to Process (2019)How to Design AI for Social Good: Seven Essential Factors (2020)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)
this work references cited by second hop

References

  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 1957Objective Tests as Instruments of Psychological Theory1,474 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2009How to Analyze Political Attention with Minimal Assumptions and Costs670 cited
  • 2016To Predict and Serve?611 cited
  • 2018The Misgendering Machines505 cited

Cited by

  • 2020Towards a critical race methodology in algorithmic fairness295 cited
  • 2023Auditing large language models: a three-layered approach287 cited
  • 2022Can HR adapt to the paradoxes of artificial intelligence?271 cited
  • 2022The flaws of policies requiring human oversight of government algorithms258 cited
  • 2022The Fallacy of AI Functionality251 cited
  • 2021The Ethics of Emotion in Artificial Intelligence Systems186 cited
  • 2024Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

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178 cited
  • 2020An empirical characterization of fair machine learning for clinical risk prediction165 cited
  • 2021Gender Bias in Machine Translation165 cited
  • 2022Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support156 cited
  • 2022Disability, fairness, and algorithmic bias in AI recruitment148 cited
  • 2023Harms from Increasingly Agentic Algorithmic Systems148 cited
  • 2024REFORMS: Consensus-based Recommendations for Machine-learning-based Science144 cited
  • 2021Measuring algorithmically infused societies144 cited
  • 2021Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets143 cited
  • 2022A survey on bias in visual datasets137 cited