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Fairness Under Composition
0 references·16 citing·47 second hopsampled
Fairness Under Composition (2018)Fairness Under CompositionNavigating the Ethical Terrain of AI-Generated Text Tools: A Review (2024)Navigating the Ethical Terrai…Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Fairness in Deep Learning: A …Efficient fair principal component analysis (2022)Efficient fair principal comp…What's Fair About Individual Fairness? (2021)What's Fair About Individual …Understanding and Mitigating Annotation Bias in Facial Expression Recognition (2021)Understanding and Mitigating …Towards Unbiased and Accurate Deferral to Multiple Experts (2021)Towards Unbiased and Accurate…Fairness Through Robustness (2021)Fairness Through RobustnessFair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline (2021)Fair Preprocessing: Towards U…Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness (2021)Bridging Machine Learning and…Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements (2019)Putting Fairness Principles i…From Soft Classifiers to Hard Decisions (2019)From Soft Classifiers to Hard…Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality (2019)Fairness in Algorithmic Decis…Fair Algorithms for Learning in Allocation Problems (2019)Fair Algorithms for Learning …Equity Beyond Bias in Language Technologies for Education (2019)Equity Beyond Bias in Languag…Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes (2019)Discrimination through optimi…Improving fairness in machine learning systems: What do industry practitioners need? (2018)Improving fairness in machine…Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Algorithmic Decision Making and the Cost of Fairness (2017)Artificial Intelligence and Algorithmic Bias: Source, Detection, Mitigation, and Implications (2020)People Prefer Moral Discretion to Algorithms: Algorithm Aversion Beyond Intransparency (2022)A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems (2023)Big Data's Disparate Impact (2014)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2021)Improving fairness of artificial intelligence algorithms in Privileged-Group Selection Bias data settings (2021)Humans perceive warmth and competence in artificial intelligence (2023)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Bias in Multimodal AI: Testbed for Fair Automatic Recruitment (2020)Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: methodology and feasibility analysis (2020)Public attitudes towards algorithmic personalization and use of personal data online: evidence from Germany, Great Britain, and the United States (2021)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Funds of knowledge for teaching: Using a qualitative approach to connect homes and classrooms (1992)1. Toward a Theory of Culturally Relevant Pedagogy (1995)Case Study: Deontological Ethics in NLP (2021)Rejecting Test Surveillance in Higher Education (2021)Fairness for machine learning software in education: A systematic mapping study (2024)Birds of a Feather: Homophily in Social Networks (2001)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)Fair ranking: a critical review, challenges, and future directions (2022)Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices (2023)On Fairness and Calibration (2023)A theory of justice original editionJudgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)A Review of Bias and Fairness in Artificial Intelligence. (2023)Algorithmic individual fairness and healthcare: a scoping review (2024)Objective metrics for ethical AI: a systematic literature review (2024)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)NeuronFair (2022)Fairness-aware machine learning engineering: how far are we? (2023)Fairness Improvement with Multiple Protected Attributes: How Far Are We? (2024)Constants across cultures in the face and emotion. (1971)Uncertain Facial Expression Recognition via Multi-Task Assisted Correction (2023)Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion (2023)From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos (2024)Machine learning fairness notions: Bridging the gap with real-world applications (2021)On the Applicability of Machine Learning Fairness Notions (2021)A brief review on algorithmic fairness (2022)The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification (2021)German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation (2022)Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)
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Cited by

  • 2021Understanding and Mitigating Annotation Bias in Facial Expression Recognition120 cited
  • 2019Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality87 cited
  • 2018Improving fairness in machine learning systems: What do industry practitioners need?81 cited
  • 2021Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness79 cited
  • 2021Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline75 cited
  • 2021What's Fair About Individual Fairness?74 cited
  • 2019Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes71 cited
  • 2019Fair Algorithms for Learning in Allocation Problems70 cited
  • 2019Equity Beyond Bias in Language Technologies for Education62 cited
  • 2021Fairness Through Robustness58 cited
  • 2023Fairness in Deep Learning: A Survey on Vision and Language Research57 cited
  • 2021Towards Unbiased and Accurate Deferral to Multiple Experts45 cited
  • 2019From Soft Classifiers to Hard Decisions36 cited
  • 2022Efficient fair principal component analysis36 cited

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2024
Navigating the Ethical Terrain of AI-Generated Text Tools: A Review
35 cited
  • 2019Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements30 cited