Inherent Trade-Offs in the Fair Determination of Risk Scores

Cited by (945)

Items 201–300 of 945

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2. On Chances and Risks of Security Related Algorithmic Decision Making Systems
   Katharina Anna Zweig, Georg Wenzelburger, Tobias D. Krafft · 2018 · European Journal for Security Research
3. On Consequentialism and Fairness
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4. Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
   Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy et al. · 2021 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
5. BREEDS: Benchmarks for Subpopulation Shift
   Shibani Santurkar, Dimitris Tsipras, Aleksander Mądry · 2020 · arXiv (Cornell University)
6. Survey on fairness notions and related tensions
   Guilherme Torres Alves, Fabien Bernier, Miguel Couceiro, Karima Makhlouf, Catuscia Palamidessi A, Sami Zhioua · 2023 · EURO Journal on Decision Processes
7. Algorithmic Fairness and the Situated Dynamics of Justice
   Sina Fazelpour, Zachary C. Lipton, David J. Danks · 2021 · Canadian Journal of Philosophy
8. Adaptive fairness improvement based on causality analysis
   Mengdi Zhang, Jun Sun · 2022 · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
9. FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
   Tomáš Sixta, Julio C. S. Jacques, Pau Buch-Cardona, Eduard Vazquez, Sérgio Escalera · 2020 · Lecture notes in computer science
10. Beyond Supervised Learning for Pervasive Healthcare
    Xiao Gu, Fani Deligianni, Jinpei Han, Xiangyu Liu, Wei Chen, Guang‐Zhong Yang, Benny P. L. Lo · 2023 · IEEE Reviews in Biomedical Engineering
11. Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management
    Caroline Margaux Gevaert, Thomas Buunk, Marc J. C. Van den Homberg · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
12. Think Your Artificial Intelligence Software Is Fair? Think Again
    Rachel Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilović, Seema Nagar et al. · 2019 · IEEE Software
13. Optimized Data Pre-Processing for Discrimination Prevention
    Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney · 2017 · arXiv (Cornell University)
14. Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
    Zhang, Haoran, Lu, Amy X., Abdalla, Mohamed, McDermott, Matthew, Ghassemi, Marzyeh · 2020 · arXiv
15. Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach
    Edward Raff, Jared Sylvester · 2018 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
16. Data Science Data Governance [AI Ethics]
    Joshua A. Kroll · 2018 · IEEE Security & Privacy
17. Towards Fair Truth Discovery from Biased Crowdsourced Answers
    Yanying Li, Haipei Sun, Hui Wang · 2020 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
18. Normative Principles for Evaluating Fairness in Machine Learning
    Derek Leben · 2020 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
19. Should learning analytics models include sensitive attributes? Explaining the why
    Deho, Oscar Blessed, Joksimovic, Srecko, Li, Jiuyong, Zhan, Chen, Liu, Jixue, Liu, Lin · 2023 · IEEE Transactions on Learning Technologies
20. The Psychology of Stereotypes
    Endre Begby · 2021 · Oxford University Press eBooks
21. Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
    Mike Schaekermann, Terry Spitz, Malcolm Pyles Chelliah, Heather J. Cole-Lewis, Ellery Wulczyn, Stephen R. Pfohl, Donald Martin, Ronnachai Jaroensri, Geoff Keeling, Yuan Liu et al. · 2024 · EClinicalMedicine
22. SoK: Content Moderation for End-to-End Encryption
    Sarah Scheffler, Jonathan R. Mayer · 2023 · Proceedings on Privacy Enhancing Technologies
23. Label-Imbalanced and Group-Sensitive Classification under Overparameterization
    Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis · 2021 · arXiv (Cornell University)
24. Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis
    Calmon, Flavio du Pin, Wei, Dennis, Vinzamuri, Bhanukiran, Ramamurthy, Karthikeyan Natesan, Varshney, Kush R. · 2018 · IEEE Journal of Selected Topics in Signal Processing
25. Preventing Disparate Treatment in Sequential Decision Making
    Heidari, Hoda, Krause, Andreas · 2018 · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
26. Ensuring Fairness under Prior Probability Shifts
    Arpita Biswas, Suvam Mukherjee · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
27. Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
    Nina Grgić-Hlača, Gabriel Lima, Adrian Weller, Elissa M. Redmiles · 2022 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
28. Differential Tweetment
    Ari Ball-Burack, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Pal Singh · 2021 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
29. Mapping the Stony Road toward Trustworthy AI: Expectations, Problems, Conundrums
    Gernot Rieder, Judith Simon, Pak‐Hang Wong · 2020 · The MIT Press eBooks
30. Enter the metrics: critical theory and organizational operationalization of AI ethics
    Joris Krijger · 2021 · AI & Society
31. Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors
    Martin Hlosta, Christothea Herodotou, Tina Papathoma, Anna Gillespie, Per Bernard Bergamin · 2022 · Computers and Education Artificial Intelligence
32. Rethinking responsible AI from ethical pillars to sociotechnical practice
    Ayodeji Ibitoye, Makuochi Samuel Nkwo, Rita Orji · 2025 · AI and Ethics
33. Machine Decisions and Human Consequences
    Teresa Scantamburlo, Andrew Charlesworth, Nello Cristianini · 2019 · Oxford University Press eBooks
34. The politics and reciprocal (re) configuration of accountability and fairness in data-driven education
    Sahlgren, Otto · 2023 · Learning, Media and Technology
35. Towards Formal Fairness in Machine Learning
    Alexey Ignatiev, Martin Cooper, Mohamed Siala, Emmanuel Hébrard, João P. Marques-Silva · 2020 · Lecture notes in computer science
36. Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
    Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi · 2022 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
37. Understanding Potential Sources of Harm throughout the Machine Learning Life Cycle
    Harini Suresh, John V. Guttag · 2021
38. Engines of Order
    Bernhard Rieder · 2020 · Amsterdam University Press eBooks
39. Weapons of moral construction? On the value of fairness in algorithmic decision-making
    Benedetta Giovanola, Simona Tiribelli · 2022 · Ethics and Information Technology
40. An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding
    Ahmad Alsharef, Karan Aggarwal, Sonia Sonia, Deepika Koundal, Hashem Alyami, Darine Ameyed · 2022 · Computational Intelligence and Neuroscience · Retracted
41. On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision-Making
    Fabian Beigang · 2022 · Minds and Machines
42. Data, Power and Bias in Artificial Intelligence
    Susan Leavy, Barry O’Sullivan, Ευγενία Σιαπέρα · 2020 · arXiv (Cornell University)
43. Regulating Government AI and the Challenge of Sociotechnical Design
    David Freeman Engstrom, Amit Haim · 2023 · Annual Review of Law and Social Science
44. Machines à prédire
    Bilel Benbouzid, Dominique Cardon · 2018 · Réseaux
45. FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models
    Tiankai Xie, Yuxin Ma, Jian Li Kang, Hanghang Tong, Ross Maciejewski · 2021 · IEEE Transactions on Visualization and Computer Graphics
46. From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making
    Matthias Kuppler, Christoph A. Kern, Ruben L. Bach, Frauke Kreuter · 2022 · Frontiers in Sociology
47. Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
    L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi · 2018 · arXiv (Cornell University)
48. Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function)
    Eckersley, Peter · 2018 · arXiv (Cornell University)
49. Counterfactual Reasoning for Fair Clinical Risk Prediction
    Pfohl, Stephen, Tony Duan, Daisy Yi Ding, Nigam Haresh Shah · 2019 · arXiv (Cornell University)
50. Algorithm Fairness in AI for Medicine and Healthcare
    Richard J. Chen, Tiffany Chen, Jana Lipková, Judy Jiaqi Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood · 2021 · arXiv (Cornell University)
51. Philosophy within Data Science Ethics Courses
    Sara Colando, Johanna Hardin · 2024 · Journal of Statistics and Data Science Education
52. Competing narratives in AI ethics: a defense of sociotechnical pragmatism
    David Watson, Jakob Mökander, Luciano Floridi · 2024 · AI & Society
53. Resolving value conflicts in public AI governance: A procedural justice framework
    Karl de Fine Licht · 2025 · Government Information Quarterly
54. Detecting Bias in Black-Box Models Using Transparent Model Distillation.
    Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou · 2017 · arXiv (Cornell University)
55. The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
    Niki Kilbertus, Philip Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva · 2019 · arXiv (Cornell University)
56. Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
    Kallus, Nathan, Mao, Xiaojie, Zhou, Angela · 2019 · arXiv
57. A Statistical Test for Probabilistic Fairness
    Bahar Taşkesen, José Blanchet, Daniel Kühn, Viet Anh Nguyen · 2021 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
58. Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector
    Michele Loi, Markus Christen · 2019 · Philosophy & Technology
59. Equalized odds postprocessing under imperfect group information
    Pranjal Awasthi, Matthäus Kleindeßner, Jamie Morgenstern · 2019 · arXiv (Cornell University)
60. Algorithmic decision making methods for fair credit scoring
    Moldovan, Darie · 2023 · IEEE Access
61. Software engineering practices for machine learning — Adoption, effects, and team assessment
    Alex Serban, Koen van der Blom, Holger H. Hoos, Joost Visser · 2023 · Journal of Systems and Software
62. The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior
    Jon Michael Kleinberg, Jens Ludwig, Sendhil Mullainathan, Manish Raghavan · 2023 · Perspectives on Psychological Science
63. Fairness in the Eyes of the Data: Certifying Machine-Learning Models
    Shahar Segal, Yossi Adi, Benny Pinkas B, Carsten Baum, Chaya Ganesh, Joseph Keshet · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
64. Group-Aware Threshold Adaptation for Fair Classification
    Taeuk Jang, Pengyi Shi, Xiaoqian Wang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
65. Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
    Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kıcıman, Margaret Mitchell · 2019 · International World Wide Web Conference (WWW)
66. Unintended Consequences of Biased Robotic and Artificial Intelligence Systems [Ethical, Legal, and Societal Issues]
    Ludovic Righetti, Raj Madhavan, Raja Chatila · 2019 · IEEE Robotics & Automation Magazine
67. Demographics and discussion influence views on algorithmic fairness
    Emma Pierson · 2017 · arXiv (Cornell University)
68. Average Individual Fairness: Algorithms, Generalization and Experiments
    Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi · 2019 · arXiv (Cornell University)
69. The Fairness of Credit Scoring Models
    Hurlin, Christophe, Perignon, Christophe, Saurin, Sébastien · 2021 · SSRN Electronic Journal
70. Effects of pretrial risk assessments on release decisions and misconduct outcomes relative to practice as usual
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71. Who is analysing what? The opportunities, risks and implications of using predictive risk modelling with Indigenous Australians in child protection: A scoping review
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72. Deep fair models for complex data: Graphs labeling and explainable face recognition
    Danilo Franco, Nicolò Navarin, Michele Donini, Davide Anguita, Luca Oneto · 2021 · Neurocomputing
73. Explainable AI for Cybersecurity
    Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo, Abdalla Hassan Gharib, Amaranadha Reddy Manchuri, Navid Ali Khan, Wee Jing Tee, Lalitha Muniandy · 2024 · Advances in computational intelligence and robotics book series
74. Investigating Human + Machine Complementarity for Recidivism Predictions
    Sarah Tan, Julius Adebayo, Kori M. Inkpen, Ece Semiha Kamar · 2018 · arXiv (Cornell University)
75. Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning.
    Mohammad Yaghini, Bogdan Kulynych, Carmela Troncoso · 2019 · arXiv (Cornell University)
76. FACT: A Diagnostic for Group Fairness Trade-offs
    Joon Sik Kim, Jiahao Chen, Ameet Talwalkar · 2020 · arXiv (Cornell University)
77. Integrating Technical and Legal Concepts of Privacy
    Sokolovska, Ana, Kocarev, Ljupco · 2018 · IEEE Access
78. Fairness and explainability in automatic decision-making systems. A challenge for computer science and law
    Kirat, Th., Tambou, O., Do, V., Tsoukiàs, A. · 2023 · EURO Journal on Decision Processes
79. Auditing the fairness of place-based crime prediction models implemented with deep learning approaches
    Jiahui Wu, Saad Mohammad Abrar, Naman Awasthi, Vanessa Frías-Martínez · 2023 · Computers Environment and Urban Systems
80. Impossibility Results in AI: A Survey
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81. Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
    Hilde Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter · 2024 · Journal of Artificial Intelligence Research
82. Fairness and Transparency in the Age of the Algorithm
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83. Procedural Justice and Risk-Assessment Algorithms
    Alvin Wang · 2018 · SSRN Electronic Journal
84. Evaluating Fairness Metrics in the Presence of Dataset Bias
    J. Henry Hinnefeld, Peter Cooman, Nat Mammo, Rupert Deese · 2018 · arXiv (Cornell University)
85. Evaluation of Fairness Trade-offs in Predicting Student Success
    Hansol Lee, René F. Kizilcec · 2020 · arXiv (Cornell University)
86. Meritocratic Fairness for Infinite and Contextual Bandits
    Joseph, Matthew, Kearns, Michael, Morgenstern, Jamie, Neel, Seth, Roth, Aaron · 2018 · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society
87. Association Between Community-Level Social Risk and Spending Among Medicare Beneficiaries
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88. FPT Approximation for Fair Minimum-Load Clustering
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89. Designing Fairly Fair Classifiers Via Economic Fairness Notions
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90. Fairly evaluating and scoring items in a data set
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91. Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews
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92. On the Controllability of Artificial Intelligence: An Analysis of Limitations
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93. Fairness in Agreement With European Values
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94. Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology
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95. Predictive algorithms in the delivery of public employment services
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96. Are Algorithms Value-Free?
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97. Crowdsourcing with Fairness, Diversity and Budget Constraints
    Naman Goel, Boi V. Faltings · 2019 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
98. Learning Unbiased Representations via Mutual Information Backpropagation
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99. Social-minded Measures of Data Quality
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100. Artificial Intelligence in Strategizing: Prospects and Challenges
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