Big Data's Disparate Impact

Cited by (1,102)

Items 1,001–1,100 of 1,102

1. El derecho del trabajo como un medio para atenuar el impacto de la vigilancia del trabajador, su manipulación y su discriminación en el ámbito laboral de la sociedad de la transparencia.
   Matías Mascitti · 2021 · IUS ET SCIENTIA
2. The Impact of the ‘Right to Be Forgotten’ on Algorithmic Fairness
   Julian Sengewald, Richard Lackes · 2021 · Lecture notes in business information processing
3. The Impact of Split Classifiers on Group Fairness
   Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon · 2021 · IEEE International Symposium on Information Theory (ISIT)
4. Algorithm Transparency through the Fair Credit Reporting Act (FCRA)
   Karl Schmeckpeper, Sonia F. Roberts, Mathieu Ouellet, Matthew Malencia, Divya Jain, Walker Gosrich, Valerie Bromberg · 2021 · Journal of Science Policy & Governance
5. Estimating Creditworthiness using Uncertain Online Data
   Marijn Bolhuis · 2015
6. Equalizing Financial Impact in Supervised Learning
   Govind Ramnarayan · 2018 · arXiv (Cornell University)
7. Group calibration is a byproduct of unconstrained learning.
   Lydia T. Liu, Max Simchowitz, Moritz Hardt · 2018 · arXiv (Cornell University)
8. Probabilistic Verification of Fairness Properties via Concentration
   Osbert Bastani, Xin Zhang, Armando Solar-Lezama · 2018 · arXiv (Cornell University)
9. Fair Adversarial Networks
   George Cevora · 2020 · arXiv (Cornell University)
10. The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
    Po-Ming Law, Sana Malik, Fan Du, Moumita Sinha · 2020 · arXiv (Cornell University)
11. Fair Outlier Detection
    P Deepak, Savitha Sam Abraham · 2020 · arXiv (Cornell University)
12. Quantifying the Extent to Which Race and Gender Features Determine Identity in Commercial Face Recognition Algorithms
    John J. Howard, Yevgeniy B. Sirotin, Jerry L. Tipton, Arun R. Vemury · 2020 · arXiv (Cornell University)
13. One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
    Kobayashi, Kenji, Yuri Nakao · 2020 · arXiv (Cornell University)
14. An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression
    Evgenii Chzhen, Nicolas Schreuder · 2020 · arXiv (Cornell University)
15. Metric-Free Individual Fairness with Cooperative Contextual Bandits
    Qian Hu, Huzefa Rangwala · 2020 · arXiv (Cornell University)
16. Fairness Under Partial Compliance
    Jessica C. Dai, Sina Fazelpour, Zachary C. Lipton · 2020 · arXiv (Cornell University)
17. Fair for All: Best-effort Fairness Guarantees for Classification
    Krishnaswamy, Anilesh K., Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala · 2020 · arXiv (Cornell University)
18. Beyond traditional assumptions in fair machine learning
    Niki Kilbertus · 2020 · arXiv (Cornell University)
19. Insiders and Outsiders in Research on Machine Learning and Society
    Yu Tao, Kush R. Varshney · 2021 · arXiv (Cornell University)
20. A Decentralized Approach towards Responsible AI in Social Ecosystems
    Chu, Wenjing · 2021 · arXiv (Cornell University)
21. Towards the Right Kind of Fairness in AI
    Boris Ruf, Marcin Detyniecki · 2021 · arXiv (Cornell University)
22. A novel multi-objective-based approach to analyze trade-offs in Fair Principal Component Analysis
    Guilherme Dean Pelegrina, Renan Brotto, Leonardo Tomazeli Duarte · 2020 · arXiv (Cornell University)
23. Model Mis-specification and Algorithmic Bias
    Runshan Fu, Yangfan Liang, Peter Yun Zhang · 2021 · arXiv (Cornell University)
24. Copyright and Data Protection
    Bárbara Pasa · 2021 · Services and business process reengineering
25. The Sharpe predictor for fairness in machine learning
    Suyun Liu, Luis Nunes Vicente · 2021 · arXiv (Cornell University)
26. Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
    Yunhan Zheng, Shenhao Wang, Jinhua Zhao · 2021 · arXiv (Cornell University)
27. Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services.
    Charl Maree, Christian Walter Peter Omlin · 2021 · arXiv (Cornell University)
28. Normative Challenges of Risk Regulation of Artificial Intelligence and Automated Decision-Making
    Carsten Orwat, Jascha Bareis, Anja Folberth, Jutta Jahnel, Christian Wadephul · 2022
29. Sensitivity-based measures of discrimination in insurance pricing
    Lindholm, Mathias, Richman, Ronald, Tsanakas, Andreas, Wüthrich, Mario V. · 2026 · European Journal of Operational Research
30. Facts and Where to Find Them: Empirical Research on Internet Platforms and Content Moderation
    Daphne Keller, Paddy Leerssen · 2020 · Data Archiving and Networked Services (DANS)
31. The Enforcement of Legal Duties: Protecting Copyright or Promoting Reading Equality?
    Paul David Harpur · 2017 · Cambridge University Press eBooks
32. A Hybrid Multilevel Storage Architecture for Electric Power Dispatching Big Data
    Hu Yan, Bibin Huang, Bowen Hong · 2017 · Journal of Physics Conference Series
33. Privacy, Algorithmic Discrimination, and the Internet of Things
    Jenifer Sunrise Winter · 2017 · IGI Global eBooks
34. Negotiating the Future: Leveraging Socio-technical Narratives to Engage Multiple Voices in the Ethics of Our Future
    Michael Warren Skirpan · 2017 · CU Scholar (University of Colorado Boulder)
35. What's in Your Face? Discrimination in Facial Recognition Technology
    Jieshu Wang · 2018 · DigitalGeorgetown (Georgetown University Library)
36. Energy Consumers' Perspectives on Smart Meter Data
    Jenifer Sunrise Winter · 2018 · Advances in information security, privacy, and ethics book series
37. Algorithms and Public Policy
    J.R. Kroeskop · 2018 · Utrecht University Repository (Utrecht University)
38. Using Balancing Terms to Avoid Discrimination in Classification
    Simon Aagaard Enni, Ira Assent · 2018 · Proceedings
39. Copying Machine Learning Classifiers
    Irene Unceta, Jordi Nin, Oriol Pujol · 2020 · IEEE Access
40. Quantifying & characterizing information diets of social media users
    Juhi Kulshrestha · 2018 · Publications of the UdS (Saarland University)
41. Fairness Incentives for Myopic Agents
    Sampath Kannan, Michael J. Kearns, Jamie Morgenstern · 2017 · arXiv (Cornell University)
42. TRUST IN DECONSTRUCTED RECOMMENDER SYSTEMS. CASE STUDY: NEWS RECOMMENDER SYSTEMS
    Marijn Martens, Ralf Patrick De Wolf, Bettina Berendt, Lieven De Marez · 2019 · AoIR Selected Papers of Internet Research
43. Fairness without Regret
    Marcus Hütter · 2019 · arXiv (Cornell University)
44. Law Data Science and Ethics: the CRIKE Approach
    Silvana Castano, Mattia Falduti, Alfio Ferrara, Stefano Montanelli · 2019 · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)
45. Smart Surveillance: How to Interpret the Fourth Amendment in the Twenty-First Century
    Ric Simmons · 2019
46. L’information et la dÕsinformation des consommateurs: Rapport italien
    Gian Antonio Benacchio · 2019 · Ius comparatum
47. Coverage-based Outlier Explanation
    Yue Wu, Leman Akoglu, Ian A. K. Davidson · 2019 · arXiv (Cornell University)
48. European Legal Perspectives on Customer Ratings and Discrimination
    Rossana Ducato, Miriam Kullmann, Marco Rocca · 2019 · Springer eBooks
49. Tensorflow 2.0 and Kubeflow for Scalable and Reproducable Enterprise AI
    Romeo Kienzler, Holger Kyas · 2020 · Computer Science & Information Technology (CS & IT)
50. Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy
    Christopher Starke, Marco Lünich · 2020 · arXiv (Cornell University)
51. Quantifying Information Leakage via Adversarial Loss Functions: Theory and Practice
    Jiachun Liao · 2020
52. A multi-objective-based approach for Fair Principal Component Analysis.
    Guilherme Dean Pelegrina, Renan Brotto, Leonardo Tomazeli Duarte · 2020 · arXiv (Cornell University)
53. A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal.
    Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran · 2020 · arXiv (Cornell University)
54. Diversifying Anonymized Data with Diversity Constraints
    Mostafa Milani, Yu Huang, Fei Chiang · 2020 · arXiv (Cornell University)
55. Return to Bali
    Marc Böhlen, Wawan Sujarwo · 2020 · arXiv (Cornell University)
56. Attitudes Toward Data Linkage
    Aleia Clark Fobia, Jennifer Hunter Childs, Casey M. Eggleston · 2020
57. Neural Fair Collaborative Filtering
    Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng · 2021 · arXiv (Cornell University)
58. Fair Meta-Learning For Few-Shot Classification
    Chen Zhao, Changbin Li, Jincheng Li · 2020 · arXiv (Cornell University)
59. Towards a Flexible Framework for Algorithmic Fairness
    Philip Hacker, Emil Wiedemann, Meike Zehlike · 2020 · arXiv (Cornell University)
60. Impacts of Predictive Text on Writing Content
    Kenneth C. Arnold · 2020 · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
61. Return to Bali
    Marc Böhlen, Wawan Sujarwo · 2020 · International Conference on Transdisciplinary AI (TransAI)
62. "A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity?
    Allison Woodruff, Yasmin Asare Anderson, Katherine Jameson Armstrong, Marina Gkiza, Jennings, Jay, Christopher Moessner, Fernanda Bertini Viégas, MARTIN P. WATTENBERG, Webb, and Lynette, Fabian Wrede et al. · 2020 · arXiv (Cornell University)
63. Optimization Frameworks for Fair Data-Driven Decision Making
    Mahbod Olfat · 2020 · eScholarship (California Digital Library)
64. Exploring fair machine learning in sequential prediction and supervised learning
    Sajjad Azami · 2020 · UVic’s Research and Learning Repository (University of Victoria)
65. The Flow of Political Information
    Andreas Jungherr, Gonzalo Rivero, Daniel Gayo-Avello · 2020 · Retooling Politics
66. Data-Driven Discrimination and (Dis)Respect.
    Otto Sahlgren · 2019
67. Data in Politics
    Andreas Jungherr, Gonzalo Rivero, Daniel Gayo-Avello · 2020 · Retooling Politics
68. Bridging the Gap: the case for an Incompletely Theorized Agreement on AI policy
    Charlotte Stix, Matthijs M. Maas · 2021 · arXiv (Cornell University)
69. The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment
    Jesse Rio Russell · 2021 · arXiv (Cornell University)
70. Towards Integrating Fairness Transparently in Industrial Applications
    Emily Dodwell, Cheryl Flynn, Balachander Krishnamurthy, Subhabrata Majumdar, Ritwik Mitra · 2020 · arXiv (Cornell University)
71. What Information Privacy Protects
    Mark Burdon · 2020 · Cambridge University Press eBooks
72. Coping with Mistreatment in Fair Algorithms
    Ankit Kulshrestha, Ilya Safro · 2021 · arXiv (Cornell University)
73. A Causal Linear Model to Quantify Edge Flow and Edge Unfairness for UnfairEdge Prioritization and Discrimination Removal
    Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran · 2020 · arXiv (Cornell University)
74. Fair Play: Was bei Daten-Geschichten zählt
    Hans-Wilhelm Eckert · 2021 · Springer eBooks
75. Achieving Transparency Report Privacy in Linear Time
    Chien‐Lun Chen, Leana Golubchik, Ranjan Pal · 2021 · arXiv (Cornell University)
76. Automation, Actuarial Identity, and Law Enforcement Informatics
    Jake Goldenfein · 2019 · Cambridge University Press eBooks
77. The Effects of Political Information
    Andreas Jungherr, Gonzalo Rivero, Daniel Gayo-Avello · 2020 · Retooling Politics
78. Enhancing Data-Driven Decision Support with Multi-Perspective Solutions
    Yaqiong Wang · 2020 · University of Minnesota Digital Conservancy (University of Minnesota)
79. Multi-Fair Pareto Boosting.
    Arjun G. Roy, Vasileios Iosifidis, Eirini Ntoutsi · 2021 · arXiv (Cornell University)
80. Using Information Privacy Law to Interrupt Modulation
    Mark Burdon · 2020 · Cambridge University Press eBooks
81. The Smart Home: A Collected Target
    Mark Burdon · 2020 · Cambridge University Press eBooks
82. How Information Privacy Law Protects
    Mark Burdon · 2020 · Cambridge University Press eBooks
83. Navigating algorithmic intransparency in social media: professional Instagram users' algorithm sensemaking
    Eugenia Rau · 2021 · Digital Library of the University of Innsbruck (University of Innsbruck)
84. Algorithmic Accountability and the Statistical Legal Subject
    Jake Goldenfein · 2019 · Cambridge University Press eBooks
85. ARTIFICIAL INTELLIGENCE AND LABOR
    Mateus de Oliveira Fornasier · 2021 · Revista da Faculdade Mineira de Direito
86. Big data as a threat to the right to non-discrimination
    М. KONIUSH · 2021 · INFORMATION AND LAW
87. Legal Tech in Public Administration
    Antonios E. Kouroutakis · 2021 · Cambridge University Press eBooks
88. FARF: A Fair and Adaptive Random Forests Classifier
    Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl · 2021 · arXiv (Cornell University)
89. Efficient Algorithms For Fair Clustering with a New Fairness Notion
    Shivam Gupta, Ganesh Sambhaji Ghalme, Narayanan Chatapuram Krishnan · 2021 · arXiv (Cornell University)
90. Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning
    Amanda Bower · 2020 · Deep Blue (University of Michigan)
91. Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education.
    Hadis Anahideh, Nazanin Nezami, Denisa Gándara · 2021 · arXiv (Cornell University)
92. New Insights on Implementing and Evaluating Artificial Intelligence in Cardiovascular Care
    Steven Dykstra, James A. White, Marina L. Gavrilova · 2021 · Intelligent systems reference library
93. Towards a Fairness-Aware Scoring System for Algorithmic Decision-Making.
    Yi Yang, Ying Wu, Xiangyu Chang, Mei Li · 2021 · arXiv (Cornell University)
94. A Sociotechnical View of Algorithmic Fairness
    Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe · 2021 · Zurich Open Repository and Archive (University of Zurich)
95. Fairness Testing for Algorithmic Pricing
    Huang, Fei, Hooker, Giles · 2026 · arXiv
96. DNA laws and the pursuit of racial justice: Access to forensic DNA technology and the exoneration of the wrongfully convicted
    d’Este, Rocco, Yuchtman, Noam · 2026
97. Rejected by Code: Algorithmic Bias in AI-Driven Recruitment and the Case for HR-IT Governance Frameworks
    Sengupta, Sowmik · 2026 · World Journal of Engineering and Technology
98. Algorithmic monoculture and social welfare
    2023 · The Societal Impacts of Algorithmic Decision-Making
99. Limits of Interventions in AI-Assisted Decision Making
    Shrestha, Shikha, Ahn, Eunhye, Vorobeychik, Yevgeniy · 2026 · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
100. Untitled work
     زهرة حسن راشد · 2026 · مجلة الدراسات والبحوث القانونية · 10.67603/jlsr.v11i2.10268