Big Data's Disparate Impact

Cited by (1,102)

Items 401–500 of 1,102

1. "Just Because You Can Doesn't Mean You Should": Practitioner Perceptions of Learning Analytics Ethics
   Kyle M. L. Jones · 2019 · portal Libraries and the Academy
2. Retooling Politics: How Digital Media Are Shaping Democracy
   Andreas Martin Jungherr, Gonzalo Rivero, Daniel Gayo-Avello · 2020
3. Machine Learning Introduces New Perspectives to Data Agency in K—12 Computing Education
   Matti Tedre, Henriikka Vartiainen, Juho Kahila, Tapani Toivonen, Ilkka Jormanainen, Teemu Valtonen · 2020 · IEEE Frontiers in Education Conference (FIE)
4. Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning
   Hagendorff, Thilo · 2021 · Minds and Machines
5. The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control
   Anita Lavorgna, Pamela Ugwudike · 2021 · Big Data & Society
6. Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
   David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi · 2022 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
7. Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
   Yunhan Zheng, Shenhao Wang, Jinhua Zhao · 2021 · Transportation Research Part C Emerging Technologies
8. On Fairness and Calibration
   Manish Raghavan · 2023 · ACM eBooks
9. Ethical Implications of the Fourth Industrial Revolution for Business and Society
   John F. Hooker, Tae Wan Kim · 2019 · Emerald Group Publishing Limited eBooks
10. Algorithms and Autonomy
    Alan Rubel, Clinton Castro, Adam Pham · 2021 · Cambridge University Press eBooks
11. Awareness in practice
    Miranda Bogen, Aaron Rieke, Shazeda Ahmed · 2020 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
12. Pre-Emptive Big Data Surveillance and its (Dis)Empowering Consequences: The Case of Predictive Policing
    Rosamunde Elise Van Brakel · 2016 · SSRN Electronic Journal
13. Racial, skin tone, and sex disparities in automated proctoring software
    Yoder-Himes, Deborah R., Asif, Alina, Kinney, Kaelin, Brandt, Tiffany J., Cecil, Rhiannon E., Himes, Paul R., Cashon, Cara, Hopp, Rachel M. P., Ross, Edna · 2022 · Frontiers in Education
14. Regulating AI and Robotics: Ethical and Legal Challenges
    Ebers, Martin · 2020 · Algorithms and Law
15. Algorithmic fairness through group parities? The case of COMPAS-SAPMOC
    Francesca Lagioia, Riccardo Rovatti, Giovanni Sartor B · 2022 · AI & Society
16. Who's Learning? Using Demographics in EDM Research
    Luc Paquette, Jaclyn L. Ocumpaugh, Ziyue Li, Alexandra Andres, Ryan S. Baker · 2020 · Journal of Educational Data Mining
17. Certification systems for machine learning: Lessons from sustainability
    Kira Matus, Michael Veale · 2021 · Regulation & Governance
18. Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box Models
    Julius Adebayo, Lalana Kagal · 2016 · arXiv (Cornell University)
19. Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
    Hutchinson, Ben, Andrew Smart, Alex Hanna · 2020 · arXiv (Cornell University)
20. The Cost of Fairness in AI: Evidence from E-Commerce
    Moritz von Zahn, Stefan Feuerriegel, Niklas Kuehl · 2021 · Business & Information Systems Engineering
21. Philosophical foundations for informing the future(S) through IS research
    Mike W. Chiasson, Elizabeth Davidson, Jenifer Sunrise Winter · 2018 · European Journal of Information Systems
22. Editorial: The personalisation of insurance: Data, behaviour and innovation
    Liz McFall, Gert Meyers, Ine Van Hoyweghen · 2020 · Big Data & Society
23. Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability
    Wright, Lucas, Muenster, Roxana Mika, Vecchione, Briana, Qu, Tianyao, Cai, Pika (Senhuang), Smith, Alan, Comm 2450 Student Investigators, Metcalf, Jacob, Matias, J. Nathan · 2024 · The 2024 ACM Conference on Fairness, Accountability, and Transparency
24. Do You Care Who Flagged This Post? Effects of Moderator Visibility on Bystander Behavior
    Aparajita Bhandari, Marie Ozanne, Natalya N. Bazarova · 2021 · Journal of Computer-Mediated Communication
25. Beyond Open vs. Closed
    Meg Young, Luke Rodriguez, Emily Keller, Feiyang Sun, Boyang Sa, Jan Whittington, Bill Howe · 2019 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
26. Costs and Benefits of Fair Representation Learning
    Daniel McNamara, Cheng Soon Ong, Robert Charles Williamson · 2019 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
27. Los algoritmos son reglamentos
    Andrés Boix Palop · 2020 · Revista de Derecho Público Teoría y método
28. Moral Gridworlds: A Theoretical Proposal for Modeling Artificial Moral Cognition
    Julia Haas · 2020 · Minds and Machines
29. Algorithmic fairness in credit scoring
    Teresa Bono, Karen Croxson, Adam Giles · 2021 · Oxford Review of Economic Policy
30. We have to talk about emotional AI and crime
    Lena Podoletz · 2022 · AI & Society
31. Bayesian Modeling of Intersectional Fairness: The Variance of Bias
    James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan · 2020 · Society for Industrial and Applied Mathematics eBooks
32. FAIR: Fair adversarial instance re-weighting
    Petrović, Andrija, Nikolić, Mladen, Radovanović, Sandro, Delibašić, Boris, Jovanović, Miloš · 2022 · Neurocomputing
33. Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable
    Auste Simkute, Ewa A. Luger, Bronwyn Jones, Michael Evans, Rhianne Jones · 2021 · Journal of Responsible Technology
34. The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
    Nathan Kallus, Angela Zhou · 2019 · Neural Information Processing Systems
35. The disciplinary power of predictive algorithms: a Foucauldian perspective
    de Laat, Paul B. · 2019 · Ethics and Information Technology
36. Racial formations as data formations
    Thao Phan, Scott Wark · 2021 · Big Data & Society
37. The Structuration of Digital Ecosystem, Privacy, and Big Data Intelligence
    Yong Jin Park, Jae Eun Chung, Donghee Shin · 2018 · American Behavioral Scientist
38. Profiling tax and financial behaviour with big data under the GDPR
    Eugenia Politou, Efthimios Alepis, Constantinos Patsakis · 2019 · Computer law & security review
39. Simplicity Creates Inequity
    Jon Michael Kleinberg, Sendhil Mullainathan · 2019 · ACM Conference on Economics and Computation (EC)
40. Fairness warnings and fair-MAML
    Dylan Slack, Sorelle A. Friedler, Emile Givental · 2020 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
41. Diversity in sociotechnical machine learning systems
    Sina Fazelpour, Maria De‐Arteaga · 2022 · Big Data & Society
42. Untitled work
    2017 · 10.4230/lipics.forc.2020.6
43. The emotive politics of digital mood tracking
    Luke Stark · 2020 · New Media & Society
44. Blockchain in the courtroom: exploring its evidentiary significance and procedural implications in U.S. judicial processes
    Xukang Wang, Y. Wu, Zhe Ma · 2024 · Frontiers Blockchain
45. Democratic Transparency in the Platform Society
    Robert Gorwa, Timothy Garton Ash · 2020 · Cambridge University Press eBooks
46. Bots and Computational Propaganda: Automation for Communication and Control
    Samuel Woolley · 2020 · Cambridge University Press eBooks
47. "We Would Never Write That Down": Classifications of Unemployed and Data Challenges for AI
    Petersen, Anette C. M., Christensen, Lars Rune, Harper, Richard, Hildebrandt, Thomas · 2021 · Proceedings of the ACM on Human-Computer Interaction
48. Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models
    Xin, Xi, Huang, Fei · 2024 · North American Actuarial Journal
49. Artificial Intelligence in a Structurally Unjust Society
    Ting-an Lin, Po-Hsuan Cameron Chen · 2022 · Feminist Philosophy Quarterly
50. People’s strategies for perceived surveillance in Amsterdam Smart City
    Shazade Jameson, Christine Richter, Linnet Taylor · 2019 · Urban Geography
51. A semi-automated BPMN-based framework for detecting conflicts between security, data-minimization, and fairness requirements
    Qusai Ramadan, Daniel Strüber, Mattia Salnitri · 2020 · Software & Systems Modeling
52. Fairness in Learning Analytics: Student At-risk Prediction in Virtual Learning Environments
    Shirin Riazy, Katharina Simbeck, Vanessa Schreck · 2020 · International Conference on Computer Supported Education
53. On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
    Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu · 2021 · International Conference on Learning Representations
54. FARF: A Fair and Adaptive Random Forests Classifier
    Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl · 2021 · Lecture notes in computer science
55. How to be Fair and Diverse?
    L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi · 2016 · arXiv (Cornell University)
56. Diversity by Design in Music Recommender Systems
    Lorenzo Porcaro, Carlos Castillo, Emília Gómez · 2021 · Transactions of the International Society for Music Information Retrieval
57. Application of artificial intelligence: risk perception and trust in the work context with different impact levels and task types
    Uwe Klein, Jana Depping, Laura Wohlfahrt, Pantaleon Fassbender · 2023 · AI & Society
58. Normative Challenges of Risk Regulation of Artificial Intelligence
    Carsten Orwat, Jascha Bareis, Anja Folberth, Jutta Jahnel, Christian Wadephul · 2024 · NanoEthics
59. Fairness in Relational Domains
    Golnoosh Farnadi, Behrouz Babaki, Lise C. Getoor · 2018 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
60. Accounting for accountable care: Value-based population health management
    Linda F. Hogle · 2019 · Social Studies of Science
61. Introduction to the Special Collection on the Fragile Families Challenge
    Matthew Salganik, Ian Lundberg, Alexander T. Kindel, Sara McLanahan · 2019 · Socius Sociological Research for a Dynamic World
62. Explaining multivariate molecular diagnostic tests via Shapley values
    Joanna Roder, Laura K. Maguire, Robert W. Georgantas · 2021 · BMC Medical Informatics and Decision Making
63. Deep learning diffusion by infusion into preexisting technologies – implications for users and society at large
    Engström, Emma, Strimling, Pontus · 2020 · Technology in Society
64. Algorithms, ontology, and social progress
    Andrew Iliadis · 2018 · Global Media and Communication
65. The (in)credibility of algorithmic models to non-experts
    Daan Kolkman · 2020 · Information Communication & Society
66. Teaching Responsible Data Science: Charting New Pedagogical Territory
    Armanda Lewis, Julia Stoyanovich · 2021 · International Journal of Artificial Intelligence in Education
67. 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 · arXiv (Cornell University)
68. Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
    Newton Mwai Kinyanjui, Timothy Odonga, Celia Cintas, Noel Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney · 2019 · arXiv (Cornell University)
69. Responsible AI by Design in Practice
    Benjamins, Richard, Barbado, Alberto, Sierra, Daniel · 2019 · arXiv
70. Introduction to special issue algorithmic transparency in government: Towards a multi-level perspective
    Giest, Sarah, Grimmelikhuijsen, Stephan · 2020 · Information Polity
71. Big Data: A New Empiricism and its Epistemic and Socio-Political Consequences
    Gernot Rieder, Judith Simon · 2017 · Springer eBooks
72. Preventing Disparate Treatment in Sequential Decision Making
    Heidari, Hoda, Krause, Andreas · 2018 · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
73. Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review
    Tricco, Andrea C, Hezam, Areej, Parker, Amanda, Nincic, Vera, Harris, Charmalee, Fennelly, Orna, Thomas, Sonia M, Ghassemi, Marco, McGowan, Jessie, Paprica, P Alison et al. · 2023 · BMJ Open
74. Socioeconomic Inequalities in the Non use of Facebook
    Eric P. S. Baumer · 2018 · CHI Conference on Human Factors in Computing Systems
75. Core Values and Value Conflicts in Cybersecurity: Beyond Privacy Versus Security
    Ibo van de Poel · 2020 · The International library of ethics, law and technology
76. OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
    Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar · 2021 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
77. Democratic Creative Destruction? The Effect of a Changing Media Landscape on Democracy
    Rasmus Kleis Nielsen, Richard Fletcher · 2020 · Cambridge University Press eBooks
78. Online Certification of Preference-Based Fairness for Personalized Recommender Systems
    Virginie Do, Sam Corbett‐Davies, Jamal Atif C, Nicolas Usunier · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
79. Understanding Potential Sources of Harm throughout the Machine Learning Life Cycle
    Harini Suresh, John V. Guttag · 2021
80. What Would You Do?
    Eric P. S. Baumer, Timothy J. Berrill, Sarah C. Botwinick, Jonathan L. Gonzales, Kevin Ho, Allison Kundrik, Luke Kwon, Tim LaRowe, Chanh Nguyen, Fredy Ramirez et al. · 2017 · International ACM SIGGROUP Conference on Supporting Group Work (GROUP)
81. Ensuring Fairness under Prior Probability Shifts
    Arpita Biswas, Suvam Mukherjee · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
82. Embed systemic equity throughout industrial ecology applications: How to address machine learning unfairness and bias
    Joe F. Bozeman, Catharina Hollauer, Arjun Thangaraj Ramshankar, Shalini Nakkasunchi, Jenna Jambeck, Andrea Hicks, Melissa Marie Bilec, Darren McCauley, Oliver Heidrich · 2024 · Journal of Industrial Ecology
83. Asset Depletion, Chronic Financial Stress, and Mortgage Trouble Among Older Female Homeowners
    Amy Castro Baker, Stacia West, Anna Wood · 2017 · The Gerontologist
84. Tailoring data source distributions for fairness-aware data integration
    Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish · 2021 · Proceedings of the VLDB Endowment
85. Strong Optimal Classification Trees
    Sina Aghaei, Andrés Gómez, Phebe Vayanos · 2024 · Operations Research
86. feminist data ethics of care for machine learning: The what, why, who and how
    Joanne Elizabeth Gray, Alice Witt · 2021 · First Monday
87. Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes
    Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish · 2021 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
88. Guarding Against Adversarial Domain Shifts with Counterfactual Regularization.
    Christina Heinze‐Deml, Nicolai Meinshausen · 2017 · arXiv (Cornell University)
89. Sentiment Bias in Predictive Text Recommendations Results in Biased Writing
    Arnold, Kenneth, Chauncey, Krysta, Gajos, Krzysztof · 2018 · Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine
90. MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness
    Zhongjun Jin, Mengjing Xu, Chenkai Sun · 2020 · Proceedings - ACM-SIGMOD International Conference on Management of Data
91. A Statistical Test for Probabilistic Fairness
    Bahar Taşkesen, José Blanchet, Daniel Kühn, Viet Anh Nguyen · 2021 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
92. 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)
93. Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector
    Michele Loi, Markus Christen · 2021 · Philosophy & Technology
94. Open the Black Box Data-Driven Explanation of Black Box Decision Systems
    D. Pedreschi, F. Giannotti, Riccardo Guidotti, A. Monreale, Luca Pappalardo, S. Ruggieri, F. Turini · 2018 · arXiv.org
95. Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?
    Holstein, Kenneth, Doroudi, Shayan · 2021 · arXiv
96. Big data: Finders keepers, losers weepers?
    Marijn Sax · 2016 · Ethics and Information Technology
97. Fairness Incentives for Myopic Agents
    Sampath Kannan, Michael J. Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh Vohra, Zhiwei Steven Wu · 2017 · ACM Conference on Economics and Computation (EC)
98. From privacy to anti-discrimination in times of machine learning
    Thilo Hagendorff · 2019 · Ethics and Information Technology
99. How Fair Can We Go
    Ruoyuan Gao, Chirag Suresh Shah · 2019 · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR)
100. Can We Obtain Fairness For Free?
     Rashidul Islam, Shimei Pan, James R. Foulds · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society