AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications

Chen, Pu, Wu, Linna, Wang, Lei·2023·Applied Sciences

Cites (296)

Items 201–256 of 256

  1. Trade-off between accuracy and fairness of data-driven building and indoor environment models: A comparative study of pre-processing methods
    Ying Sun, Fariborz Haghighat, Benjamin C. M. Fung · 2021 · Energy
  2. Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations
    Bang, Junseong, Kim, Sineae, Nam, Jang Won, Yang, Dong-Geun · 2021 · 2021 International Conference on Platform Technology and Service (PlatCon)
  3. Toward a framework for public accountability in education reform
    Hutt, Ethan, Polikoff, Morgan S. · 2020 · Educational Researcher
  4. Counterfactual learning for recommender system
    Zhenhua Dong, Hong Chun Zhu, Pengxiang Cheng · 2020
  5. Fairness improvement for black-box classifiers with Gaussian process
    Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh · 2021 · Information Sciences
  6. Making Artificial Intelligence Transparent: Fairness and the Problem of Proxy Variables
    Richard Warner, Robert H. Sloan · 2021 · Criminal Justice Ethics
  7. FAIR : Fairness‐aware information retrieval evaluation
    Gao, Ruoyuan, Ge, Yingqiang, Shah, Chirag · 2022 · Journal of the Association for Information Science and Technology
  8. Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans
    Genovesi, Sergio, Mönig, Julia Maria, Schmitz, Anna, Poretschkin, Maximilian, Akila, Maram, Kahdan, Manoj, Kleiner, Romina, Krieger, Lena, Zimmermann, Alexander · 2024 · AI and Ethics
  9. How to improve fairness perceptions of AI in hiring: The crucial role of positioning and sensitization
    Hunkenschroer, Anna · 2021 · AI Ethics Journal
  10. Model Agnostic Sample Reweighting for Out-of-Distribution Learning
    Zhou, Xiao, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang · 2023 · arXiv (Cornell University)
  11. Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning
    Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador · 2020 · Communications in computer and information science
  12. Path-Specific Counterfactual Fairness
    Chiappa, Silvia · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
  13. On Learning Fairness and Accuracy on Multiple Subgroups
    Changjian Shui, Gezheng Xu, Qi Chen · 2022 · arXiv (Cornell University)
  14. Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
    Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  15. Fairness through Aleatoric Uncertainty
    Anique Tahir, Lu Cheng, Huan Liu · 2023 · ACM International Conference on Information and Knowledge Management (CIKM)
  16. Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research
    Jonas Rieskamp, Lennart Hofeditz, Milad Mirbabaie, Stefan Stieglitz · 2023 · Hawaii International Conference on System Sciences (HICSS)
  17. FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency
    Kacper Sokol, Raúl Santos‐Rodríguez, Peter A. Flach · 2022 · Software Impacts
  18. On Improving Fairness of AI Models with Synthetic Minority Oversampling Techniques
    Yan Zhou, Murat Kantarcıoğlu, Chris Clifton · 2023 · Society for Industrial and Applied Mathematics eBooks
  19. Measuring Fairness of Rankings under Noisy Sensitive Information
    Azin Ghazimatin, Matthäus Kleindeßner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski · 2022 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  20. Fairness-aware Multi-view Clustering
    Lecheng Zheng, Yada Zhu, Jingrui He · 2023 · Society for Industrial and Applied Mathematics eBooks
  21. How are ML-Based Online Content Moderation Systems Actually Used? Studying Community Size, Local Activity, and Disparate Treatment
    Leijie Wang, Haiyi Zhu · 2022 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  22. Professionalism and homophily bias: A study of Airbnb stay choice and review positivity
    Chao Yu, Wang Liao · 2023 · International Journal of Hospitality Management
  23. FAccT-Check on AI regulation: Systematic Evaluation of AI Regulation on the Example of the Legislation on the Use of AI in the Public Sector in the German Federal State of Schleswig-Holstein
    Simbeck, Katharina · 2022 · 2022 ACM Conference on Fairness Accountability and Transparency
  24. Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
    Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H., Alex Beutel · 2021 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  25. The generalizability of pre-processing techniques on the accuracy and fairness of data-driven building models: A case study
    Ying Sun, Benjamin C. M. Fung, Fariborz Haghighat · 2022 · Energy and Buildings
  26. Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems
    Gemalmaz, Meric Altug, Yin, Ming · 2022 · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
  27. Assessing data bias in visual surveys from a cetacean monitoring programme
    Oliveira-Rodrigues, Cláudia, Correia, Ana M., Valente, Raul, Gil, Ágatha, Gandra, Miguel, Liberal, Marcos, Rosso, Massimiliano, Pierce, Graham, Sousa-Pinto, Isabel · 2022 · Scientific Data
  28. Misinformation Detection Algorithms and Fairness across Political Ideologies: The Impact of Article Level Labeling
    Jinkyung Park, Rahul Dev Ellezhuthil, Joseph Isaac, Christoph Mergerson, Lauren Feldman, Vivek Kumar Singh · 2023 · ACM Web Science Conference (WebSci)
  29. Bias, Fairness, and Accountability with AI and ML Algorithms
    Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto · 2021 · arXiv (Cornell University)
  30. Homophily, Biased Attention, and the Gender Gap in Science
    Marc Lerchenmueller, Karin Hoisl C, Leo Schmallenbach · 2019 · Academy of Management Proceedings
  31. Beyond Bias: Artificial Intelligence and Social Justice
    Robert H. Sloan, Richard Warner · 2020 · SSRN Electronic Journal
  32. Fairness in Data Wrangling
    Lacramioara Mazilu, Norman W. Paton, Νικόλαος Κωνσταντίνου, Alvaro A. A. Fernandes · 2020 · IEEE International Conference on Information Reuse and Integration (IRI)
  33. In-Processing fairness improvement methods for regression Data-Driven building Models: Achieving uniform energy prediction
    Ying Sun, Benjamin C. M. Fung, Fariborz Haghighat · 2022 · Energy and Buildings
  34. Practitioners’ Corner ∙ Anonymisation and Re-Identification Risk for Voice Data
    Moretón, A., Jaramillo, A. · 2021 · European Data Protection Law Review
  35. Revisiting Group Fairness Metrics: The Effect of Networks
    Anay Mehrotra, Jeff Sachs, L. Elisa Celis · 2022 · Proceedings of the ACM on Human-Computer Interaction
  36. Asynchronous Semi-Supervised Federated Learning with Provable Convergence in Edge Computing
    Nan Yang, Dong Yuan, Yuning Zhang, Yongkun Deng, Wei Bao · 2022 · IEEE Network
  37. Fairness in Forecasting of Observations of Linear Dynamical Systems
    Quan Zhi Zhou, Jakub Mareček, Robert Noel Shorten · 2023 · Journal of Artificial Intelligence Research
  38. Provable Detection of Propagating Sampling Bias in Prediction Models
    Pavan Ravishankar, Qingyu Mo, Edward McFowland, Daniel B. Neill · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  39. Introduction to AI Fairness
    Yunfeng Zhang, Rachel Bellamy, Moninder Singh · 2020 · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)
  40. Eliminating Disparate Treatment in Modeling
    Daniel M. Tom · 2023
  41. Confirmation Bias as a Mechanism to Focus Attention Enhances Signal Detection
    Michael Vogrin, Guilherme Maia de Oliveira Wood, Thomas Schmickl · 2023 · Journal of Artificial Societies and Social Simulation
  42. A Social Movement History of Title VII Disparate Impact Analysis
    Susan D. Carle · 2010 · SSRN Electronic Journal
  43. Adversarial Reweighting for Speaker Verification Fairness
    Minho Jin, Chelsea J.‐T. Ju, Zeya Chen, Yi Chieh Liu, Jasha Droppo, Andreas Stolcke · 2022 · Interspeech (USB)
  44. Perspectives on clinical trial data transparency and disclosure
    Alemayehu, Demissie, Anziano, Richard J., Levenstein, Marcia · 2014 · Contemporary Clinical Trials
  45. FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
    Nan Yang, Yuan, Dong, Charles Z Liu · 2023 · arXiv (Cornell University)
  46. De-identification as public policy
    Gilad L. Rosner · 2020 · Journal of data protection & privacy.
  47. Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
    Michael Lohaus, Matthäus Kleindeßner, Krishnaram Kenthapadi · 2022 · arXiv (Cornell University)
  48. Learning Fair Classifiers via Min-Max F-divergence Regularization
    Meiyu Zhong, Ravi Tandon · 2023 · Allerton Conference on Communication, Control, and Computing
  49. Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space
    Xuyang Shen, Jo Plested, Sabrina Caldwell · 2021
  50. Clinical trial transparency regulations: Implications to various scholarly publishing stakeholders
    Abdul Razack, Habeeb Ibrahim, Aranjani, Jesil Mathew, Mathew, Sam T · 2022 · Science and Public Policy
  51. How Do Algorithmic Fairness Metrics Align with Human Judgement? A Mixed-Initiative System for Contextualized Fairness Assessment
    Constantin, Rares, Duck, Moritz, Alexandrov, Anton, Matosevic, Patrik, Keidar, Daphna, El-Assady, Mennatallah · 2022 · 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)
  52. Dynamic Fair Node Representation Learning
    Öykü Deniz Köse, Yanning Shen · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  53. Introduction to Prescriptive AI
    Akshay Kulkarni, Adarsha Shivananda, Avinash Manure · 2023 · Apress eBooks
  54. Fairness in Federated Learning for Spatial-Temporal Applications
    Afra J. Mashhadi, Alex Kyllo, Reza M. Parizi · 2022 · arXiv (Cornell University)
  55. Towards Trustworthy Representation Learning
    Sheng Li · 2023 · Society for Industrial and Applied Mathematics eBooks
  56. Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
    Mercy Asiedu, Awa Dieng, Abigail Oppong · 2023 · arXiv (Cornell University)