Big Data's Disparate Impact

Cited by (1,102)

Items 501–600 of 1,102

1. Machine Learning and the Police: Asking the Right Questions
   Annette Vestby, Jonas Vestby · 2019 · Policing A Journal of Policy and Practice
2. Inherent Tradeoffs in Learning Fair Representations
   Han Zhao, Geoffrey J. Gordon · 2019 · arXiv (Cornell University)
3. On the Legal Compatibility of Fairness Definitions
   Xiang, Alice, Raji, Inioluwa Deborah · 2019 · arXiv
4. Learning Certified Individually Fair Representations
   Anian Ruoss, Mislav Balunović, Marc Fischer · 2020 · arXiv (Cornell University)
5. Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
   Martin, Donald, Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William Samuel Isaac · 2020 · arXiv (Cornell University)
6. Self-fulfilling prophecies and machine learning in resuscitation science
   De-Arteaga, Maria, Elmer, Jonathan · 2023 · Resuscitation
7. FinPathlight: Framework for an multiagent recommender system designed to increase consumer financial capability
   Lawrence Bunnell, Kweku-Muata Osei-Bryson, Victoria Yoon · 2020 · Decision Support Systems
8. Privacy at the Margins
   Scott Skinner-Thompson · 2020 · Cambridge University Press eBooks
9. Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics
   Tim Draws, N. Tintarev, U. Gadiraju, A. Bozzon, Benjamin Timmermans · 2020 · SIGKDD Explorations
10. Algorithmic governance in public sector: is digitization a key to effective management
    Aurelija Pūraitė, Vaiva Zuzevičiūtė, Daiva Bereikienė, Tetyana Skrypko, Leonid Shmorgun · 2020 · Independent Journal of Management & Production
11. Predictive Analytics for City Agencies: Lessons from Children's Services
    Shroff, Ravi · 2017 · Big Data
12. Regulation by Machine
    Benjamin Alarie, Anthony Niblett, Albert H. Yoon · 2016 · SSRN Electronic Journal
13. Algorithmic decision making and the cost of fairness
    Sam Corbett‐Davies, Emma Pierson, Avi Feller · 2017 · arXiv (Cornell University)
14. The ethics of sustainable AI : Why animals (should) matter for a sustainable use of AI
    Leonie N. Bossert, Thilo Hagendorff · 2023 · Sustainable Development
15. 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)
16. Machine learning’s limitations in avoiding automation of bias
    Daniel Varona, Yadira Lizama-Mué, Juan Luis Suárez · 2020 · AI & Society
17. Privacy literacy instruction practices in academic libraries: Past, present, and possibilities
    Hartman-Caverly, Sarah, Chisholm, Alexandria · 2020 · IFLA Journal
18. Making the black box society transparent
    Daniel Innerárity · 2021 · AI & Society
19. Of Course it's Political! A Critical Inquiry into Underemphasized Dimensions in Civic Text Visualization
    Eric P. S. Baumer, Mahmood Jasim, Ali Sarvghad, Narges Mahyar · 2022 · Computer Graphics Forum
20. Computational Fairness: Preventing Machine-Learned Discrimination
    Michael Feldman · 2015
21. Fairness in Criminal Justice Risk Assessments: The State of the Art
    Richard A. Berk, Hoda Heidari, Shahin Jabbari, Michael J. Kearns, Aaron Roth · 2017 · arXiv (Cornell University)
22. Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
    Milagros Miceli, Martin Schuessler, Tianling Yang · 2020 · arXiv (Cornell University)
23. Ageism in AI: new forms of age discrimination in the era of algorithms and artificial intelligence
    Stypinska, Justyna · 2021 · Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy
24. Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
    Wingate, David, Shoeybi, Mohammad, Sorensen, Taylor · 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
25. Ethics dumping in artificial intelligence
    Bélisle-Pipon, Jean-Christophe, Victor, Gavin · 2024 · Frontiers in Artificial Intelligence
26. Everything lies in a space: cultural data and spatial reality
    Nick Seaver · 2021 · Journal of the Royal Anthropological Institute
27. “Computer says no”: Algorithmic decision support and organisational responsibility
    Angelika Adensamer, Rita Gsenger, Lukas Daniel Klausner · 2021 · Journal of Responsible Technology
28. Data Mining and Automated Discrimination: A Mixed Legal/Technical Perspective
    Laura Carmichael, Sophie Stalla-Bourdillon, Steffen Staab · 2016 · IEEE Intelligent Systems
29. Deep fair models for complex data: Graphs labeling and explainable face recognition
    Danilo Franco, Nicolò Navarin, Michele Donini, Davide Anguita, Luca Oneto · 2021 · Neurocomputing
30. Crowdsourced surveillance and networked data
    Nick Lally · 2017 · Security Dialogue
31. Digital Data Collection and Information Privacy Law
    Mark Burdon · 2020 · Cambridge University Press eBooks
32. Comparative Media Regulation in the United States and Europe
    Francis Fukuyama, Andrew Grotto · 2020 · Cambridge University Press eBooks
33. Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy
    Charlotte Stix, Matthijs M. Maas · 2021 · AI and Ethics
34. Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
    Bashir Rastegarpanah, Krishna P. Gummadi, Mark E. Crovella · 2018 · arXiv (Cornell University)
35. Principle-based recommendations for big data and machine learning in food safety: the P-SAFETY model
    S. Sapienza, A. Vedder · 2021 · Ai & Society
36. Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)
    Serge Abiteboul, Marcelo Arenas, Pablo Barceló et al. · 2018 · Open access LMU (Ludwid Maxmilian's Universitat Munchen)
37. What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
    Alexey Romanov, Maria De‐Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai · 2019 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
38. Fairness by Explicability and Adversarial SHAP Learning
    James M. Hickey, Pietro G. Di Stefano, V. Vasileiou · 2021 · Lecture notes in computer science
39. Topicalizer: reframing core concepts in machine learning visualization by co-designing for interpretivist scholarship
    Eric P. S. Baumer, Drew Siedel, Lena McDonnell, Jiayun Zhong, Patricia Sittikul, Micki McGee · 2020 · Human-Computer Interaction
40. Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
    Luca Oneto, Michele Donini, Giulia Luise · 2020 · neural information processing systems
41. Fair and diverse allocation of scarce resources
    Hadis Anahideh, Lulu Kang, Nazanin Nezami · 2021 · Socio-Economic Planning Sciences
42. Digitizing and Disclosing Personal Data: The Proliferation of State Criminal Records on the Internet
    Sarah Esther Lageson, Elizabeth Webster, Juan R. Sandoval · 2020 · Law & Social Inquiry
43. Artificial Intelligence in Computerized Adaptive Testing
    Dena F. Mujtaba, Nihar R. Mahapatra · 2020 · International Conference on Computational Science and Computational Intelligence (CSCI)
44. Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
    Haewon Jeong, Hao Wang, Flávio P. Calmon · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
45. Group-Aware Threshold Adaptation for Fair Classification
    Taeuk Jang, Pengyi Shi, Xiaoqian Wang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
46. Privacy Literacy: From Doomscrolling to Digital Wellness
    Alexandria Edyn Chisholm, Sarah Hartman‐Caverly · 2022 · portal Libraries and the Academy
47. Research Directions for Principles of Data Management (Abridged)
    Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, Claire David, Richard B. Hull, Eyke Hüllermeier, Benny Kimelfeld, Leonid O. Libkin et al. · 2017 · ACM SIGMOD Record
48. Feminist Twitter and Gender Attitudes: Opportunities and Limitations to Using Twitter in the Study of Public Opinion
    William J. Scarborough · 2018 · Socius Sociological Research for a Dynamic World
49. Hotspots and Blind Spots
    Lauren Waardenburg, Anastasia Sergeeva, Marleen Huysman · 2018 · IFIP advances in information and communication technology
50. Artificial Intelligence and Discrimination: Discriminating Against Discriminatory Systems
    Alexander Tischbirek · 2019 · Springer eBooks
51. Online Political Advertising in the United States
    Erika Franklin Fowler, Michael M. Franz, Travis N. Ridout · 2020 · Cambridge University Press eBooks
52. Networked Employment Discrimination
    Rosenblat, Alex, Kneese, Tamara, <!>boyd, <!>danah · 2014 · SSRN Electronic Journal
53. Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
    Kumar, I. Elizabeth, Hines, Keegan E., Dickerson, John P. · 2022 · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
54. New Digital Inequalities. Algorithms Divide
    Massimo Ragnedda · 2020 · Springer eBooks
55. Designing Fairly Fair Classifiers Via Economic Fairness Notions
    Safwan Hossain, Andjela Mladenovic, Nisarg Shah · 2020 · International World Wide Web Conference (WWW)
56. Managing Bias When Library Collections Become Data
    Catherine Coleman · 2020 · International Journal of Librarianship
57. Conclusion: The Challenges and Opportunities for Social Media Research
    Nathaniel Persily, Joshua Aaron Tucker · 2020 · Cambridge University Press eBooks
58. Fairly evaluating and scoring items in a data set
    Abolfazl Asudeh, H. V. Jagadish · 2020 · Proceedings of the VLDB Endowment
59. Equitable Allocation of Healthcare Resources with Fair Survival Models
    Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds · 2021 · Society for Industrial and Applied Mathematics eBooks
60. Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
    Ian A. K. Davidson, S. S. Ravi · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
61. What failure to predict life outcomes can teach us
    Filiz Garip · 2020 · Proceedings of the National Academy of Sciences
62. Academic performance prediction in a gender-imbalanced environment
    Piotr Sapieżyński, Valentin Kassarnig, Christo Wilson · 2018
63. Bias in artificial intelligence systems
    Rejmaniak, Rafał · 2021 · Białostockie Studia Prawnicze
64. MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
    Liang, Paul Pu, Lyu, Yiwei, Fan, Xiang, Wu, Zetian, Cheng, Yun, Wu, Jason, Chen, Leslie, Wu, Peter, Lee, Michelle A., Zhu, Yuke et al. · 2021 · arXiv
65. An Investigation of Critical Issues in Bias Mitigation Techniques
    Shrestha, Robik, Kafle, Kushal, Kanan, Christopher · 2022 · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
66. Counteracting Bias and Increasing Fairness in Search and Recommender Systems
    Ruoyuan Gao, Chirag Suresh Shah · 2020 · ACM Conference on Recommender Systems (RecSys)
67. Crowdsourcing with Fairness, Diversity and Budget Constraints
    Naman Goel, Boi V. Faltings · 2019 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
68. Measuring Fairness in an Unfair World
    Herington, Jonathan · 2020 · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
69. A Fair Classifier Using Mutual Information
    Jaewoong Cho, Gyeongjo Hwang, Changho Suh · 2020 · IEEE International Symposium on Information Theory (ISIT)
70. Bias In, Bias Out? Evaluating the Folk Wisdom
    Ashesh Rambachan, Roth, Jonathan · 2019 · arXiv (Cornell University)
71. When Justice is Blind to Algorithms: Multilayered Blackboxing of Algorithmic Decision-Making in the Public Sector
    Charlotta Kronblad, Anna Essén, Magnus Mähring · 2024 · MIS Quarterly
72. Federated Learning Meets Fairness and Differential Privacy
    Manisha Padala, Sankarshan Damle, Sujit Gujar · 2021 · Communications in computer and information science
73. Software documentation is not enough! Requirements for the documentation of AI
    Florian Königstorfer, Stefan Thalmann · 2021 · Digital Policy Regulation and Governance
74. Avoiding Disparity Amplification under Different Worldviews
    Samuel Yeom, Michael Carl Tschantz · 2021 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
75. Fair lending needs explainable models for responsible recommendation
    Jiahao Chen · 2018 · arXiv (Cornell University)
76. The Zoo of Fairness Metrics in Machine Learning
    Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli, Ilaria Giuseppina Penco, Andrea Claudio Cosentini · 2021 · Research Square
77. Decisiones automatizadas: problemas y soluciones jurídicas. Más allá de la protección de datos
    Alba Soriano Arnanz · 2021 · Revista de Derecho Público Teoría y método
78. How to measure gender bias in machine translation: Real-world oriented machine translators, multiple reference points
    Anna Farkas, Renáta Németh · 2021 · Social Sciences & Humanities Open
79. Implicit Bias in Predictive Data Profiling Within Recruitments
    Anders Persson · 2016 · IFIP advances in information and communication technology
80. Maschinelles Lernen und Diskriminierung: Probleme und Lösungsansätze
    Thilo Hagendorff · 2019 · Österreichische Zeitschrift für Soziologie
81. What science can do for democracy: a complexity science approach
    Tina Eliassi‐Rad, Henry John Farrell, David García, Stephan Lewandowsky, Patricia Palacios, Don Ross, Didier Sornette, Karim P. Y. Thébault, Karoline Wiesner · 2020 · Humanities and Social Sciences Communications
82. Addressing Bias and Fairness in Search Systems
    Ruoyuan Gao, Chirag Suresh Shah · 2021 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
83. Framework for Centering Racial Equity Throughout the Administrative Data Life Cycle
    Amy Hawn Nelson, Sharon Zanti · 2020 · International Journal for Population Data Science
84. Educational justice and big data
    Tammy Harel Ben Shahar · 2017 · Theory and Research in Education
85. Contrastive Explanations with Local Foil Trees
    Jasper van der Waa, Marcel Robeer, Jurriaan van Diggelen, Matthieu J. S. Brinkhuis, Mark A. Neerincx · 2018 · arXiv (Cornell University)
86. Nurturing Digital Citizenship in Society 5.0 Through AI and Computational Intelligence Education
    Muhammad Usman Tariq, Rommel Pilapil Sergio · 2024 · Advances in computational intelligence and robotics book series
87. Learning Fair and Transferable Representations with Theoretical Guarantees
    Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer · 2020 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
88. Fairness improvement for black-box classifiers with Gaussian process
    Dang Nguyen, Sunil Gupta, Santu Rana, Alistair P. Shilton, Svetha Venkatesh · 2021 · Information Sciences
89. Decoding Algorithms: Exploring End-Users’ Mental Models of the Inner Workings of Algorithmic News Recommenders
    Marijn Martens, Ralf Patrick De Wolf, Bettina Berendt, Lieven De Marez · 2022 · Digital Journalism
90. Information systems ethics – challenges and opportunities
    Simon Rogerson, Keith Miller, Jenifer Sunrise Winter, David K. Larson · 2017 · Journal of Information Communication and Ethics in Society
91. An Intersectional Definition of Fairness
    James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan · 2018 · arXiv (Cornell University)
92. Measuring Bias in Contextualized Word Representations
    Keita Kurita, Nidhi Vyas, Ayush Pareek · 2019 · arXiv (Cornell University)
93. Review of Mathematical frameworks for Fairness in Machine Learning
    Eustasio del Barrio, Paula Gordaliza, Jean–Michel Loubes · 2020 · arXiv (Cornell University)
94. A Distributionally Robust Approach to Fair Classification
    Bahar Taşkesen, Viet Anh Nguyen, Daniel Kühn, José Blanchet · 2020 · arXiv (Cornell University)
95. "What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
    McKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang · 2020 · arXiv (Cornell University)
96. Artificial intelligence and digital health in the health systems of developing countries: the challenges and vision of integration in the primary health care setting
    Manoochehr Karami, Hayder Madlool · 2025 · Frontiers in Digital Health
97. The Challenges of Machine Learning and Their Economic Implications
    Pol Borrellas i Martín, Irene Unceta · 2021 · Entropy
98. Attributing Fair Decisions with Attention Interventions
    Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan · 2022 · Workshop on Trustworthy Natural Language Processing (TrustNLP)
99. Personalization in Australian K-12 classrooms: how might digital teaching and learning tools produce intangible consequences for teachers’ workplace conditions?
    Janine Aldous Arantes · 2022 · The Australian Educational Researcher
100. Investigating Oversampling Techniques for Fair Machine Learning Models
     Sanja Rančić, Sandro Radovanović, Boris Delibašić · 2021 · Lecture notes in business information processing