Big Data's Disparate Impact

Cited by (1,102)

Items 701–800 of 1,102

1. Strategyproof Mechanisms for Group-Fair Facility Location Problems
   Houyu Zhou, Minming Li, Hau Chan · 2022 · International Joint Conference on Artificial Intelligence
2. Machine Learning and the Meaning of Equal Treatment
   Joshua Simons, Sophia Adams Bhatti, Adrian Weller · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
3. Method for Appropriating the Brief Implicit Association Test to Elicit Biases in Users
   Tilman Dingler, Benjamin Tag, David Eccles, Niels van Berkel, Vassilis Kostakos · 2022 · CHI Conference on Human Factors in Computing Systems
4. Fairness-aware Recommendation with librec-auto
   Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury · 2020 · ACM Conference on Recommender Systems (RecSys)
5. Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
   Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos · 2019 · arXiv (Cornell University)
6. Debiasing Classifiers: Is Reality at Variance With Expectation?
   Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal Akhter Mateen, Sebastian J. Vollmer · 2020 · SSRN Electronic Journal
7. The Ethics of Facial Recognition Technology
   Evan M. Selinger, Brenda Leong · 2021 · SSRN Electronic Journal
8. “Just” algorithms: justification (beyond explanation) of automated decisions under the general data protection regulation
   Malgieri, Gianclaudio · 2021 · Law and Business
9. Old Facts, New Beginnings: Thinking with Arendt about Algorithmic Decision-Making
   Lisa Maria Herzog · 2021 · The Review of Politics
10. AI Within Online Discussions: Rational, Civil, Privileged?
    Jonas Aaron Carstens, Dennis Frieß · 2024 · Minds and Machines
11. Friction, snake oil, and weird countries: Cybersecurity systems could deepen global inequality through regional blocking
    Anne Jonas, Jenna Burrell · 2019 · Big Data & Society
12. Fairness in Practice: A Survey on Equity in Urban Mobility
    An Yan, Bill Howe · 2019 · IEEE Data(base) Engineering Bulletin
13. Algorithmic Decision-Making and the Problem of Control
    Thomas Grote, Ezio Di Nucci · 2020 · Techno:Phil
14. Understanding User Sensemaking in Machine Learning Fairness Assessment Systems
    Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski · 2021 · International World Wide Web Conference (WWW)
15. Tessera: Discretizing Data Analysis Workflows on a Task Level
    Jing Nathan Yan, Ziwei Gu, Jeffrey M. Rzeszotarski · 2021 · CHI Conference on Human Factors in Computing Systems
16. Fairness-Aware Training of Decision Trees by Abstract Interpretation
    Francesco Ranzato, Caterina Urban, Marco Zanella · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
17. Fairness Under Feature Exemptions: Counterfactual and Observational Measures
    Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover · 2021 · IEEE Transactions on Information Theory
18. Metric-Free Individual Fairness with Cooperative Contextual Bandits
    Qian Hu, Huzefa Rangwala · 2020 · Proceedings
19. Fair classification via Monte Carlo policy gradient method
    Andrija Petrović, Mladen Nikolić, Miloš Jovanović, Miloš Bijanić, Boris Delibašić · 2021 · Engineering Applications of Artificial Intelligence
20. Data-Centric Factors in Algorithmic Fairness
    Nianyun Li, Naman Goel, Elliott Ash · 2022 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
21. Quantifying Program Bias
    Aws Albarghouthi, Loris D’Antoni, Samuel Drews, Aditya V. Nori · 2017 · arXiv (Cornell University)
22. Towards Human Centered AutoML
    Florian Pfisterer, Janek Thomas, Bernd Bischl · 2019 · arXiv (Cornell University)
23. Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare
    Natalia Martínez, Martín Bertrán, Guillermo Sapiro · 2019 · arXiv (Cornell University)
24. Contrastive Examples for Addressing the Tyranny of the Majority
    Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto · 2020 · arXiv (Cornell University)
25. Removing biased data to improve fairness and accuracy
    Sahil Verma, Michael D. Ernst, René Just · 2021 · arXiv (Cornell University)
26. Fairness in Algorithmic Profiling: A German Case Study
    Christoph A. Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter · 2021 · MADOC (University of Mannheim)
27. Unexpected outcomes from an AI education course among education faculty: Toward making AI accessible with marginalized youth in urban Mexico
    Kasun, G. Sue, Liao, Yin-Chan, Margulieux, Lauren Elizabeth, Woodall, Maya · 2024 · Frontiers in Education
28. Complex systems perspective in assessing risks in artificial intelligence
    Dániel Kondor, Valerie Hafez, Sudhang Shankar, Rania Wazir, Fariba Karimi · 2024 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
29. The A.I. Pandorica
    Robert J Domanski · 2019 · Conference on Digital Government Research
30. Educational ecosystems for Information Science: The case of the University of Pisa
    Vittore Casarosa, Salvatore Ruggieri, Enrica Salvatori · 2020 · Education for Information
31. FairLOF: Fairness in Outlier Detection
    P Deepak, Savitha Sam Abraham · 2021 · Data Science and Engineering
32. Regulating Algorithms’ Regulation? First Ethico-Legal Principles, Problems, and Opportunities of Algorithms
    Giovanni Comandé · 2017 · Studies in big data
33. Big Data and Trust in Public Policy Automation
    Philip Waggoner, Ryan Kennedy, Hayden Le, Myriam Shiran · 2019 · Statistics Politics and Policy
34. Leveraging Semi-Supervised Learning for Fairness using Neural Networks
    Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu · 2019 · International Conference on Machine Learning and Applications
35. Technological Innovation and Discrimination in Household Finance
    Adair Morse, Karen M. Pence · 2020 · Finance and Economics Discussion Series
36. Decisional guidance for detecting discriminatory data analytics recommendations
    Sepideh Ebrahimi, Khaled Hassanein · 2021 · Information & Management
37. Fair Machine Learning Under Partial Compliance
    Jessica C. Dai, Sina Fazelpour, Zachary C. Lipton · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
38. The Quest for Actionable AI Ethics
    E. Ruttkamp-Bloem · 2020 · SACAIR
39. Why ethical audit matters in artificial intelligence?
    Nitesh Rai · 2021 · AI and Ethics
40. Some HCI Priorities for GDPR-Compliant Machine Learning
    Michael Veale, Reuben Binns, Max G. Van Kleek · 2018
41. Exploring Server-side Blocking of Regions
    Sadia Afroz, Michael Carl Tschantz, Shaarif Sajid, Shoaib Asif Qazi, Mobin Javed, Vern Paxson · 2018 · arXiv (Cornell University)
42. Ethics of AI in Transplant Matching: Is It Better or Just More of the Same?
    Maya Sherman, Dov S. Greenbaum · 2019 · The American Journal of Bioethics
43. What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?
    Javier Sánchez‐Monedero, Lina Dencik, Lilian Edwards · 2019 · SSRN Electronic Journal
44. Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
    Shun-Yuan Zhang, Nitin Mehta, P. V. Singh, K. Srinivasan · 2021 · SSRN Electronic Journal
45. On the Applicability of Machine Learning Fairness Notions
    Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi A · 2021 · ACM SIGKDD Explorations Newsletter
46. The Permissibility of Biased AI in a Biased World: An Ethical Analysis of AI for Screening and Referrals for Diabetic Retinopathy in Singapore
    Kathryn Muyskens, Angela Ballantyne, Julian Savulescu, H Nasir, Anantharaman Muralidharan · 2024 · Asian Bioethics Review
47. Seeking Compatibility in Preventing Crime with Artificial Intelligence and Ensuring a Fair Trial
    Kelly Anne Blount · 2021 · Masaryk University Journal of Law and Technology
48. The Datafication of Law: How Technology Encodes Carceral Power and Affects Judicial Practice in the United States
    Gil Rothschild‐Elyassi · 2021 · Law & Social Inquiry
49. Minimum Harm by Design: Reworking Privacy by Design to Mitigate the Risks of Surveillance
    Elisa Orrù · 2017 · Law, governance and technology series
50. Education Technology and Student Privacy
    Elana Zeide · 2018 · Cambridge University Press eBooks
51. THE ETHICS OF EMOTION IN AI SYSTEMS
    Luke Stark, Jesse Hoey · 2019 · AoIR Selected Papers of Internet Research
52. Environmental Adaptation and Differential Replication in Machine Learning
    Irene Unceta, Jordi Nin, Oriol Pujol · 2020 · Entropy
53. On the Potential for Discrimination via Composition
    Giridhari Venkatadri, Alan E. Mislove · 2020 · ACM Internet Measurement Conference (IMC)
54. AI applications in prevalent diseases and disorders
    Louis J. Catania · 2020 · Elsevier eBooks
55. A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings
    Mascha Kurpicz-Briki, Tomaso Leoni · 2021 · Frontiers in Big Data
56. Systematic Literature Review of Fairness in Learning Analytics and Application of Insights in a Case Study
    Shirin Riazy, Katharina Simbeck, Vanessa Schreck · 2021 · Communications in computer and information science
57. Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia
    Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina · 2022 · Proceedings of the ACM on Human-Computer Interaction
58. Model-based discrimination analysis
    Qusai Ramadan, Amir Shayan Ahmadian, Daniel Strüber, Jan Jürjens, Steffen Staab · 2018
59. Bias-Resilient Neural Network
    Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl · 2019
60. On the Fairness of Disentangled Representations
    Francesco Locatello, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard Schölkopf, Olivier Bachem · 2019 · arXiv (Cornell University)
61. Ethical Considerations in Artificial Intelligence Courses
    Emanuelle Burton, Judy Goldsmith, Sven Koenig, Benjamin J. Kuipers, Nicholas Mattei, Toby Walsh · 2017 · arXiv (Cornell University)
62. Learning Fair and Transferable Representations
    Luca Oneto, Michele Donini, Maurer, Andreas, Massimiliano Pontil · 2019 · arXiv (Cornell University)
63. Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
    Bhargava, Shruti, David Alexander Forsyth · 2019 · arXiv (Cornell University)
64. A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
    Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean–Michel Loubes, Laurent Risser · 2020 · arXiv (Cornell University)
65. Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
    Robert Adragna, Elliot Creager, David Madras, Richard S. Zemel · 2020 · arXiv (Cornell University)
66. Algorithms are not neutral: Bias in collaborative filtering
    Catherine Stinson · 2021 · arXiv (Cornell University)
67. Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
    Michael Madaio, Su Lin Blodgett, Elijah Mayfield, Ezekiel J. Dixon‐Román · 2021 · arXiv (Cornell University)
68. AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing
    Berendt, Bettina · 2019 · Paladyn, Journal of Behavioral Robotics
69. The Social Consequences of Language Technologies and Their Underlying Language Ideologies
    Maria Goldshtein, Jaclyn L. Ocumpaugh, Andrew Potter, Rod D. Roscoe · 2024 · Lecture notes in computer science
70. A multi-stage HR-in-the-loop approach to enhance fairness perceptions of AI selection systems
    Shuai Yuan, Lu Xing, Danqin Zhao · 2025 · The International Journal of Human Resource Management
71. Causal inference for social discrimination reasoning
    Bilal Qureshi, Faisal Kamiran, Asim Karim, Salvatore Ruggieri, Dino Pedreschi · 2019 · Journal of Intelligent Information Systems
72. Learning Deep Fair Graph Neural Networks.
    Luca Oneto, Nicolò Navarin, Michele Donini · 2020 · The European Symposium on Artificial Neural Networks
73. Privacy, Non-Discrimination and Equal Treatment: Developing a Fundamental Rights Response to Behavioural Profiling
    Niklas Eder · 2020 · Data science, machine intelligence, and law
74. Using Bias Parity Score to Find Feature-Rich Models with Least Relative Bias
    Bhanu Jain, Manfred Huber, Ramez A. Elmasri, Leonidas Fegaras · 2020 · Technologies
75. Discrimination by Machine-Based Decisions: Inputs and Limits of Anti-discrimination Law
    Dolores Morondo Taramundi · 2022 · Information technology and law series/Information technology & law series
76. Emerging Trends of Industry 4.0 in Equality, Diversity, and Inclusion Implementations
    Rıfat Kamaşak, Deni̇z Palalar Alkan, Baris Yalcinkaya · 2023 · Emerald Group Publishing Limited eBooks
77. A Declarative Approach to Fairness in Relational Domains
    Golnoosh Farnadi, Behrouz Babaki, Lise C. Getoor · 2019 · IEEE Data(base) Engineering Bulletin
78. Caught inside the black box: Criminalization, opaque technology, and the New York subway MetroCard
    Noah McClain · 2019 · The Information Society
79. Dangers of Bias in Data-Intensive Information Systems
    Baekkwan Park, Dhana L. Rao, Venkat Naidu Gudivada · 2020 · Advances in intelligent systems and computing
80. Dealing with Emerging AI Technologies: Teaching and Learning Ethics for AI
    Josephina Antoniou · 2020 · EAI/Springer Innovations in Communication and Computing
81. Attesting Digital Discrimination Using Norms.
    Natalia Criado, Xavier Ferrer, José M. Such · 2021 · International Journal of Interactive Multimedia and Artificial Intelligence
82. Accuracy and Fairness in a Conditional Generative Adversarial Model of Crime Prediction
    Christian Camilo Urcuqui, Juan Moreno, Carlos Montenegro, Alvaro José Riascos, Mateo Dulce Rubio · 2020 · International Conference on Behavioral, Economic, and Socio-Cultural Computing
83. Addressing multiple metrics of group fairness in data-driven decision making
    Marius Miron, Songül Tolan, Emília Gómez, Carlos Castillo · 2020 · arXiv (Cornell University)
84. Towards Debiasing Sentence Representations
    Paul Pu Liang, Irene Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis‐Philippe Morency · 2020 · arXiv (Cornell University)
85. Online and Customizable Fairness-aware Learning
    Wenbin Zhang · 2020 · arXiv (Cornell University)
86. Consistent Counterfactuals for Deep Models
    Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta · 2021 · arXiv (Cornell University)
87. Unified Group Fairness on Federated Learning
    Fengda Zhang, Kun Kuang, Liu, Yuxuan, Long Chen, Chao Wu, Fei Qing Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao · 2021 · arXiv (Cornell University)
88. The Issue of Bias. The Framing Powers of Ml
    Mireille Hildebrandt · 2019 · SSRN Electronic Journal
89. Обработка данных при помощи искусственного интеллекта и риски дискриминации
    Elvira Vladimirovna Talapina · 2022 · Law Journal of the Higher School of Economics
90. Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
    Charl Maree, Christian Walter Peter Omlin · 2021 · IEEE Symposium Series on Computational Intelligence (SSCI)
91. Gendered competencies and gender composition: A human versus algorithm evaluator comparison
    Stephanie M. Merritt, Ann Marie Ryan, Cari L. Gardner, Joshua Liff, Nathan J. Mondragon · 2023 · International Journal of Selection and Assessment
92. The Digital Siren’s Call: Accepting Unethical AI Advice
    Cheng Xu, Hao Xu, Yan-Qi Sun, Wanfang Xiong · 2024 · International journal of human computer interactions
93. The scales of (algorithmic) justice
    Matthew Sun, Marissa Kumar Gerchick · 2019 · AI Matters
94. Fair Decision-Making for Food Inspections
    Shubham Singh, Bhuvni Shah, Chris Kanich, Ian A. Kash · 2022 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
95. Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging
    Barlas, Pınar, Kyriakou, Kyriakos, Kleanthous, Styliani, Otterbacher, Jahna · 2021 · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
96. Opportunities for a More Interdisciplinary Approach to Measuring Perceptions of Fairness in Machine Learning
    C. Malik Boykin, Sophia T. Dasch, Vincent Rice, Venkat R. Lakshminarayanan, Taiwo A. Togun, Sarah M. Brown · 2021 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
97. Speaking on Behalf of
    Eric P. S. Baumer, Micki McGee · 2019 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
98. Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions
    Daniel McNamara · 2019 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
99. Experts in the Shadow of Algorithmic Systems
    Auste Simkute, Ewa A. Luger, Mike Evans, Rhianne Jones · 2020 · Designing Interactive Systems Conference
100. Dealing with Disinformation: Evaluating the Case for Amendment of Section 230 of the Communications Decency Act
     Tim Hwang · 2017 · Cambridge University Press eBooks