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Fairness Through Robustness
16 references·3 citing·25 second hop
Fairness Through Robustness (2021)Fairness Through RobustnessScaling of End-To-End Governance Risk Assessments for AI Systems (Practitioner Track) (2025)Scaling of End-To-End Governa…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Equity of Attention (2018)Equity of AttentionOptimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …On Fairness and Calibration (2017)On Fairness and CalibrationFairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness in Machine Learning:…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Avoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactLearning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessConsumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation (2022)German AI Start-Ups and “AI E…The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification (2021)The Authors Matter: Understan…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)The Measurement of Observer Agreement for Categorical Data (1977)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Empirical Asset Pricing via Machine Learning (2020)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)The ethics of algorithms: Mapping the debate (2016)Algorithmic bias: review, synthesis, and future research directions (2021)Taxonomy of Risks posed by Language Models (2022)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2013Learning Fair Representations1,126 cited
  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2017On Fairness and Calibration509 cited
  • 2017Fairness in Machine Learning: Lessons from Political Philosophy500 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2025Scaling of End-To-End Governance Risk Assessments for AI Systems (Practitioner Track)390 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited
  • 2018Equity of Attention

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337 cited

Cited by

  • 2022German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation38 cited
  • 2021The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification27 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited