Big Data's Disparate Impact

Cited by (1,102)

Items 601–700 of 1,102

1. Automating Procedurally Fair Feature Selection in Machine Learning
   Clara Belitz, Lan Jiang, Nigel Bosch · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
2. Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
   Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa A · 2021 · IEEE International Conference on Computer Vision Workshops
3. Civic Tech at mySociety: How the Imagined Affordances of Data Shape Data Activism
   Stefan Baack · 2018 · Krisis | Journal for Contemporary Philosophy
4. Explainability for fair machine learning
   Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige · 2020 · arXiv (Cornell University)
5. Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks
   Kieran Browne, Ben Swift · 2020 · arXiv (Cornell University)
6. Local data debiasing for fairness based on generative adversarial training.
   Aïvodji, Ulrich, Bidet, François, Gambs, Sébastien, Ngueveu, Rosin Claude, Tapp, Alain · 2021 · Algorithms
7. From Individual to Group Privacy in Biomedical Big Data
   Brent Mittelstadt · 2018 · Cambridge University Press eBooks
8. Financial Inclusion and Financial Technology
   Sumit D. Agarwal, Wenlan Qian, Ruth Tan · 2020 · Springer eBooks
9. EquiTensors
   An Yan, Bill Howe · 2021 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
10. Intersectional Experiences of Unfair Treatment Caused by Automated Computational Systems
    Tom van Nuenen, José M. Such, Mark Coté · 2022 · Proceedings of the ACM on Human-Computer Interaction
11. Dealing with Bias and Fairness in Data Science Systems
    Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani · 2020 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
12. Enforcing fairness in logistic regression algorithm
    Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović · 2020 · International Conference on Innovations in Intelligent Systems and Applications (INISTA)
13. Fair Clustering with Fair Correspondence Distribution
    Woojin Lee, Hyungjin Ko, Junyoung Byun, Taeho Yoon, Jaewook Lee · 2021 · Information Sciences
14. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
    Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine R Udell · 2018 · arXiv (Cornell University)
15. The Future of Knowing and Values: Information Technologies and Plato's Critique of Rhetoric
    Susan B. Levin · 2017 · Philosophy and Rhetoric
16. Investigating the lack of diversity in user behavior: The case of musical content on online platforms
    Rémy Poulain, Fabien Tarissan · 2019 · Information Processing & Management
17. Data Economy 2.0: From Big Data Value to AI Value and a European Data Space
    Sonja Zillner, Jon Ander Gómez, Ana García Robles · 2021 · Springer eBooks
18. A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized
    Benjamin Cedric Larsen · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
19. Values and inductive risk in machine learning modelling: the case of binary classification models
    Koray Karaca · 2021 · European Journal for Philosophy of Science
20. A Review of the Gaps and Opportunities of Nudity and Skin Detection Algorithmic Research for the Purpose of Combating Adolescent Sexting Behaviors
    Muhammad Uzair Tariq, Afsaneh Razi, Karla A. Badillo-Urquiola, Pamela Wiśniewski · 2019 · Lecture notes in computer science
21. Tuning Fairness by Balancing Target Labels
    Thomas Kehrenberg, Zexun Chen, Novi Quadrianto · 2020 · Frontiers in Artificial Intelligence
22. Artificial Intelligence and People with Disabilities: a Reflection on Human–AI Partnerships
    Jason J. G. White · 2021 · Springer eBooks
23. Employee perceptions of fairness toward IoT monitoring
    Maryam Al-Hitmi, Karma Sherif · 2018 · VINE Journal of Information and Knowledge Management Systems
24. What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
    Javier Sánchez‐Monedero, Lina Dencik, Lilian Edwards · 2019 · Goldsmiths (University of London)
25. No computation without representation: Avoiding data and algorithm biases through diversity
    Caitlin Kuhlman, Latifa Jackson, Rumi Chunara · 2020 · arXiv (Cornell University)
26. Fairness-Aware Explainable Recommendation over Knowledge Graphs
    Zuohui Fu, Yikun Xian, Ruoyuan Gao et al. · 2020 · arXiv (Cornell University)
27. Debiasing Vandalism Detection Models at Wikidata
    Stefan Heindorf, Yan Scholten, Gregor Engels, Martin Potthast · 2019 · International World Wide Web Conference (WWW)
28. Artificial Intelligence and Administrative Decisions Under Uncertainty
    Yoan Hermstrüwer · 2019 · Springer eBooks
29. Trust in the Balance: Data Protection Laws as Tools for Privacy and Security in the Cloud
    Darra L. Hofman, Luciana Duranti, Elissa How · 2017 · Algorithms
30. A Framework for Determining the Fairness of Outlier Detection
    Ian A. K. Davidson, S. S. Ravi · 2020 · Frontiers in artificial intelligence and applications
31. Axes for Sociotechnical Inquiry in AI Research
    Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick · 2021 · IEEE Transactions on Technology and Society
32. Designing medical artificial intelligence for in- and out-groups
    Wanyue Li, Xinyue Zhou, Qian Yang · 2021 · Computers in Human Behavior
33. Breaking Taboos in Fair Machine Learning: An Experimental Study
    Julian Nyarko, Sharad Goel, Roseanna Sommers · 2021 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
34. Media and Communications*
    Nick Couldry, Clemencia Rodríguez, Göran Bolin, Julie E. Cohen, Gerard Michael Goggin, Marwan M. Kraidy, Kōichi Iwabuchi, Kwang-Suk Lee, Jack Linchuan Qiu, Ingrid Volkmer et al. · 2018 · Cambridge University Press eBooks
35. To Split or not to Split: The Impact of Disparate Treatment in Classification
    Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon · 2021 · IEEE Transactions on Information Theory
36. Fairness-aware machine learning: a perspective
    Indrė Žliobaitė · 2017 · arXiv (Cornell University)
37. Transparency: Motivations and Challenges
    Adrian Weller · 2017 · arXiv (Cornell University)
38. Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
    Vedant Nanda, Samuel W. Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson · 2020 · arXiv (Cornell University)
39. Business Data Ethics: Emerging Trends in the Governance of Advanced Analytics and AI
    Dennis D. Hirsch, Tim Bartley, Aravind Chandrasekaran, Davon Norris, Srinivasan Parthasarathy, Piers Norris Turner · 2020 · SSRN Electronic Journal
40. Worst Practices for Designing Production Information Access Systems
    Diaz, Fernando · 2016 · ACM SIGIR Forum
41. FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning
    Cabrera, Ángel Alexander, Epperson, Will, Hohman, Fred, Kahng, Minsuk, Morgenstern, Jamie, Chau, Duen Horng · 2019 · 2019 IEEE Conference on Visual Analytics Science and Technology (VAST)
42. Technological Workforce and Its Impact on Algorithmic Justice in Politics
    Jerome D. Williams, David Lopez, Patrick Shafto, Kyungwon Lee · 2019 · Customer Needs and Solutions
43. Quantifying Social Biases in Contextual Word Representations
    Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W. Black, Yulia Tsvetkov · 2019
44. Fairness-Aware Instrumentation of Preprocessing~Pipelines for Machine Learning
    Ke Yang, Biao Huang, Julia Stoyanovich, Sebastian Schelter · 2020 · UvA-DARE (University of Amsterdam)
45. The Role of Accuracy in Algorithmic Process Fairness Across Multiple Domains
    Michele Albach, James R. Wright · 2021 · ACM Conference on Economics and Computation (EC)
46. The next stage of U.S. communications policy: The emerging embedded infosphere
    Richard D. Taylor · 2016 · Telecommunications Policy
47. The Role of In-Group Bias and Balanced Data
    Arpita Biswas, Marta Kołczyńska, Saana Rantanen, Polina Rozenshtein · 2020 · ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS)
48. Taming Technical Bias in Machine Learning Pipelines
    Sebastian Schelter, Julia Stoyanovich · 2020 · UvA-DARE (University of Amsterdam)
49. Attention Aware Debiasing for Unbiased Model Prediction
    Puspita Majumdar, Richa Singh, Mayank Vatsa A · 2021 · IEEE International Conference on Computer Vision Workshops
50. Algorithmic Decision Making in the Presence of Unmeasured Confounding
    Jongbin Jung, Ravi Shroff, A. Feller, Sharad Goel · 2018 · arXiv (Cornell University)
51. Age and gender bias in pedestrian detection algorithms
    Brandao, Martim · 2019 · arXiv
52. DORO: Distributional and Outlier Robust Optimization
    Runtian Zhai, Dan Chen, J. Zico Kolter, Pradeep Ravikumar · 2021 · arXiv (Cornell University)
53. ESR: Ethics and Society Review of Artificial Intelligence Research
    Michael S. Bernstein, Margaret Levi, David Christopher Magnus, Betsy Rajala, Debra M. Satz, Quinn Waeiss · 2021 · arXiv (Cornell University)
54. Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness
    Ben Green · 2021 · SSRN Electronic Journal
55. The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
    Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark Owen Riedl · 2021 · arXiv (Cornell University)
56. Dynamic Fairness-aware Recommendation Through Multi-agent Social Choice
    Amanda Aird, Paresha Farastu, Joshua Jian Sun, Elena Štefancová, Cassidy All, Amy Voida, Nicholas Mattei, Robin Burke · 2024 · ACM Transactions on Recommender Systems
57. The effect of confounding data features on a deep learning algorithm to predict complete coronary occlusion in a retrospective observational setting
    Rob Brisk, Raymond Bond, Dewar Finlay, James A. McLaughlin, Alicja Piadlo, Stephen James Leslie, David E. Gossman, Ian B A Menown, DAVID J. MCENEANEY, Stafford G. Warren · 2021 · European Heart Journal - Digital Health
58. Arbiter
    Julian Zucker, Myraeka d'Leeuwen · 2020 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
59. Cultural Differences in Bias? Origin and Gender Bias in Pre-Trained German and French Word Embeddings
    Mascha Kurpicz-Briki · 2020 · ARBOR - Bern University of Applied Sciences Repository
60. Risk mitigation in algorithmic accountability: The role of machine learning copies
    Irene Unceta, Jordi Nin, Oriol Pujol · 2020 · PLoS ONE
61. When Politicization Stops Algorithms in Criminal Justice
    Pascal D. König, Georg Wenzelburger · 2020 · The British Journal of Criminology
62. Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)
    Serge Abiteboul, Marcelo Arenas, Pablo Barceló et al. · 2017 · arXiv (Cornell University)
63. The social lives of generative adversarial networks
    Michael Castelle · 2020
64. FNNC: Achieving Fairness through Neural Networks
    Manisha Padala, Sujit Gujar · 2018 · arXiv (Cornell University)
65. Characterizing Fairness Over the Set of Good Models Under Selective Labels
    Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova · 2021 · arXiv (Cornell University)
66. How Costly is Noise? Data and Disparities in Consumer Credit
    Laura Blattner, Scott Nelson · 2021 · RePEc: Research Papers in Economics
67. Information provision measures for voice agent product recommendations— The effect of process explanations and process visualizations on fairness perceptions
    Helena Weith, Christian Matt · 2023 · Electronic Markets
68. Algorithmic Subjectivities
    Eric P. S. Baumer, Alex S. Taylor, Jed R. Brubaker, Micki McGee · 2024 · ACM Transactions on Computer-Human Interaction
69. Data Aggregation as Social Relations: Making Datasets from Self-Tracking Data
    Dawn Nafus · 2019 · European Review
70. Monitoring Laws
    Jake Goldenfein · 2019 · Cambridge University Press eBooks
71. Ethical practice in sharing and mining medical data
    Kevin J. Watson, Dinah M. Payne · 2020 · Journal of Information Communication and Ethics in Society
72. Iterative Effect-Size Bias in Ridehailing: Measuring Social Bias in Dynamic Pricing of 100 Million Rides.
    Akshat Pandey, Aylin Çalışkan · 2020
73. Automating Trustworthiness in Digital Twins
    Brydon T. Wang, Mark Burdon · 2021 · Advances in 21st century human settlements
74. A framework for centering racial equity throughout the administrative data life cycle.
    Amy Hawn Nelson, Sharon Zanti · 2020 · PubMed
75. The law in computation: What machine learning, artificial intelligence, and big data mean for law and society scholarship
    Tania E. DoCarmo, Stephen C. Rea, Evan Conaway, John R. Emery, Noopur Raval · 2021 · Law & Policy
76. librec-auto: A Tool for Recommender Systems Experimentation
    Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
77. Multi-agent Social Choice for Dynamic Fairness-aware Recommendation
    Robin Burke, Nicholas Mattei, Vladislav Grozin, Amy Voida, Nasim Sonboli · 2022 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
78. The digital Wild West: on social entrepreneurship in extended reality
    Abigail N. Devereaux · 2020 · Journal of Entrepreneurship and Public Policy
79. Loss-Aversively Fair Classification
    Junaid Ali, Muhammad Bilal Zafar, Adish Kumar Singla, Krishna P. Gummadi · 2019 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
80. Alternative grant models might perpetuate Black–White funding gaps
    Carole J. Lee, Sheridan Grant, Elena A. Erosheva · 2020 · The Lancet
81. Censorship of Online Encyclopedias
    Eddie Yang, Margaret E. Roberts · 2021 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
82. Who is more trustworthy, Alexa or mom?: Children’s selective trust in a digital age.
    Grace W. Murray · 2021 · Technology Mind and Behavior
83. Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination
    Miranda Bogen, Aaron Rieke, Shazeda Ahmed · 2019 · arXiv (Cornell University)
84. Fairness and Discrimination in Information Access Systems
    Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Díaz · 2021 · arXiv (Cornell University)
85. The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness
    Ferrara, Emilio · 2023
86. Poisoning Attacks on Algorithmic Fairness
    David Solans, Battista Biggio, Carlos Castillo · 2021 · Lecture notes in computer science
87. Leveraging artificial intelligence and machine learning for unraveling pathogenesis and advancing precision medicine in autoimmune diseases
    Chunhao Cao, Wenting Zhao, Jianmin Guo, Zhuqian Wang, Aiping Lü, Chao Chu Liang · 2025 · The Innovation Medicine
88. Strategies to improve fairness in artificial intelligence:A systematic literature review
    António Trigo, Nubia Stein, Fernando Paulo Belfo · 2024 · Education for Information
89. Are the robots taking over? On AI and perceived existential risk
    Airlie Hilliard, Emre Kazim, Stephan Ledain · 2024 · AI and Ethics
90. How to make decisions with algorithms
    Anders Persson, Iordanis Kavathatzopoulos · 2018 · ACM SIGCAS Computers and Society
91. Ethical and Socially-Aware Data Labels
    E. Beretta, A. Vetrò, B. Lepri, Juan Carlos De Martin · 2018 · Symposium on Information Management and Big Data
92. Mitigating Demographic Biases in Social Media-Based Recommender Systems
    Rashidul Islam, Kamrun Naher Keya, Shimei Pan · 2019 · Maryland Shared Open Access Repository (USMAI Consortium)
93. A fair classifier chain for multi‐label bank marketing strategy classification
    Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović · 2021 · International Transactions in Operational Research
94. Implementing a machine learning screening tool for malnutrition: insights from qualitative research applicable to other machine learning-based clinical decision support systems
    Besculides, Melanie, Mazumdar, Madhu, Phlegar, Sydney, Freeman, Robert, Wilson, Sara, Joshi, Himanshu, Kia, Arash, Gorbenko, Ksenia · 2023 · JMIR Formative Research
95. Exploration or Algorithm? The Undone Science Before the Algorithms
    Dawn Nafus · 2018 · Cultural Anthropology
96. Panel
    Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau · 2018 · Proceedings of the VLDB Endowment
97. Die digitale Versuchung
    Pascal D. König · 2019 · Politische Vierteljahresschrift
98. The Promise and Peril of Human Rights Technology
    Molly K. Land, Jay D. Aronson · 2018 · Cambridge University Press eBooks
99. Balancing Utility and Fairness against Privacy in Medical Data
    Andrew Chester, Yun Sing Koh, Jörg Simon Wicker, Quan Sun, Junjae Lee · 2020 · IEEE Symposium Series on Computational Intelligence (SSCI)
100. Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction
     Puspita Majumdar, Saheb Chhabra, Richa Singh · 2021 · Frontiers in Big Data