mlsanityData to 14 Oct 2026

FairSight: Visual Analytics for Fairness in Decision Making

arXiv 1908.00176 ↗First posted 1 Aug 2019cs.HC cs.CY cs.LGcited by 59

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Abstract (arXiv)

Data-driven decision making related to individuals has become increasingly pervasive, but the issue concerning the potential discrimination has been raised by recent studies. In response, researchers have made efforts to propose and implement fairness measures and algorithms, but those efforts have not been translated to the real-world practice of data-driven decision making. As such, there is still an urgent need to create a viable tool to facilitate fair decision making. We propose FairSight, a visual analytic system to address this need; it is designed to achieve different notions of fairness in ranking decisions through identifying the required actions -- understanding, measuring, diagnosing and mitigating biases -- that together lead to fairer decision making. Through a case study and user study, we demonstrate that the proposed visual analytic and diagnostic modules in the system are effective in understanding the fairness-aware decision pipeline and obtaining more fair outcomes.

Key facts. Cited by 59 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Aug 2019.

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Citing papers per year: 2021: 11; 2022: 17; 2023: 13; 2024: 9; 2025: 8; 2026: 1.

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  1. 2021A survey on datasets for fairness-aware machine learningcited by 157
  2. 2021Robustness Gym: Unifying the NLP Evaluation Landscapecited by 108
  3. 2021The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Modelscited by 63
  4. 2022Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkitscited by 34
  5. 2021M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysiscited by 29
  6. 2022The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizationscited by 29
  7. 2021Discovering and Validating AI Errors With Crowdsourced Failure Reportscited by 28
  8. 2022Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethicscited by 28
  9. 2023Visual Analytics For Machine Learning: A Data Perspective Surveycited by 25
  10. 2021A Sociotechnical View of Algorithmic Fairnesscited by 24
  11. 2022De-biasing "bias" measurementcited by 20
  12. 2022Symphony: Composing Interactive Interfaces for Machine Learningcited by 18
38 more
  1. 2022D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Biascited by 18
  2. 2023A Critical Survey on Fairness Benefits of Explainable AIcited by 16
  3. 2022Towards Involving End-users in Interactive Human-in-the-loop AI Fairnesscited by 12
  4. 2024How to be fair? A study of label and selection biascited by 11
  5. 2022Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairnesscited by 9
  6. 2021WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddingscited by 8
  7. 2021End-To-End Bias Mitigation: Removing Gender Bias in Deep Learningcited by 6
  8. 2024Talaria: Interactively Optimizing Machine Learning Models for Efficient Inferencecited by 6
  9. 2024Exploring Empty Spaces: Human-in-the-Loop Data Augmentationcited by 6
  10. 2023Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Modelscited by 5
  11. 2024ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scalecited by 5
  12. 2024EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholderscited by 5
  13. 2023Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosiscited by 4
  14. 2025BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agentscited by 4
  15. 2023TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanationscited by 3
  16. 2023Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AIcited by 3
  17. 2023FairCompass: Operationalising Fairness in Machine Learningcited by 3
  18. 2022How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategiescited by 2
  19. 2023ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysiscited by 2
  20. 2023MLHOps: Machine Learning for Healthcare Operationscited by 2
  21. 2023Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalitiescited by 2
  22. 2023Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systemscited by 2
  23. 2023VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisionscited by 1
  24. 2024Mapping the Potential of Explainable AI for Fairness Along the AI Lifecyclecited by 1
  25. 2024Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systemscited by 1
  26. 2024Versatile Ordering Network: An Attention-based Neural Network for Ordering Across Scales and Quality Metricscited by 1
  27. 2025Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching Systemcited by 1
  28. 2025FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairnesscited by 1
  29. 2025Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Taskscited by 1
  30. 2021SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysiscited by 0
  31. 2021VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Searchcited by 0
  32. 2021Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generationcited by 0
  33. 2022Visual Identification of Problematic Bias in Large Label Spacescited by 0
  34. 2022Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectorscited by 0
  35. 2022Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networkscited by 0
  36. 2022Trinary Tools for Continuously Valued Binary Classifierscited by 0
  37. 2022Explanation-Guided Fairness Testing through Genetic Algorithmcited by 0
  38. 2022A Design Space for Explainable Ranking and Ranking Modelscited by 0

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