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Towards Causal Benchmarking of Biasin Face Analysis Algorithms
8 references·1 citing·43 second hop
Towards Causal Benchmarking of Biasin Face Analysis Algorithms (2021)Towards Causal Benchmarking of Biasin Fac…Demographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Demographic Bias in Biometric…REPAIR: Removing Representation Bias by Dataset Resampling (2019)REPAIR: Removing Representati…Discrimination In The Age Of Algorithms (2019)Discrimination In The Age Of …An Empirical Study of Rich Subgroup Fairness for Machine Learning (2019)An Empirical Study of Rich Su…Women Also Snowboard: Overcoming Bias in Captioning Models (2018)Women Also Snowboard: Overcom…Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Are Emily and Greg More Emplo…Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data (2003)Regression methods for covari…Disparate Impact under Title VII: An Objective Theory of Discrimination (1987)Disparate Impact under Title …A Survey on Bias in Machine Learning Research (2025)A Survey on Bias in Machine L…Alternative to Mental Hospital Treatment (1980)Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R) (1987)Cost-Effectiveness in Health and Medicine (1996)An evaluation of bivariate random‐effects meta‐analysis for the joint synthesis of two correlated outcomes (2006)Statistical Analysis of Cost‐effectiveness Data (2006)Non‐parametric methods for cost‐effectiveness analysis: the central limit theorem and the bootstrap compared (2009)Fairness through awareness (2012)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)A Survey on Bias and Fairness in Machine Learning (2021)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Big Data's Disparate Impact (2014)Equality of Opportunity in Supervised Learning (2016)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2021)Certifying and Removing Disparate Impact (2015)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Climate Change, Environmental Disasters, and Health Inequities: The Underlying Role of Structural Inequalities (2022)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques (2024)The Black Box Society (2015)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Investigating Bias and Fairness in Facial Expression Recognition (2020)Trustworthy AI: From Principles to Practices (2022)Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability (2024)Telling more than we can know: Verbal reports on mental processes. (1977)Measuring individual differences in implicit cognition: The implicit association test. (1998)Thinking, Fast and Slow (2011)Mitigating bias in algorithmic hiring (2020)Governance of artificial intelligence (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)The Economics of Discrimination. (1972)The Statistical Theory of Racism and Sexism. (1972)Instructional manipulation checks: Detecting satisficing to increase statistical power (2009)Science faculty’s subtle gender biases favor male students (2012)THE THEORY OF DISCRIMINATION (2015)Semantics derived automatically from language corpora contain human-like biases (2017)Risk, Ambiguity, and the Savage Axioms (1961)The Matthew Effect in Science (1968)Availability: A heuristic for judging frequency and probability (1973)A Review on Fairness in Machine Learning (2022)Six Human-Centered Artificial Intelligence Grand Challenges (2023)
this work references cited by second hop

References

  • 2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination5,025 cited
  • 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
  • 2003Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data363 cited
  • 2020Demographic Bias in Biometrics: A Survey on an Emerging Challenge263 cited
  • 2019REPAIR: Removing Representation Bias by Dataset Resampling228 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning197 cited
  • 2019Discrimination In The Age Of Algorithms105 cited
  • 1987Disparate Impact under Title VII: An Objective Theory of Discrimination41 cited

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  • 2025A Survey on Bias in Machine Learning Research10 cited

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