Search results for "fairness"

Hits ?▲	Authors	Title	Venue	Year	Link
17	David De Cremer, Devesh Narayanan, Mahak Nagpal, Jack McGuire, Shane Schweitzer	AI Fairness in Action: A Human-Computer Perspective on AI Fairness in Organizations and Society.	Int. J. Hum. Comput. Interact.	2024	DBLP DOI BibTeX RDF
17	Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh, Abhijnan Chakraborty	Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification.	CoRR	2024	DBLP DOI BibTeX RDF
17	Muhammad Faaiz Taufiq, Jean-Francois Ton, Yang Liu	Dataset Fairness: Achievable Fairness on Your Data With Utility Guarantees.	CoRR	2024	DBLP DOI BibTeX RDF
17	Shizhou Xu, Thomas Strohmer	On the (In)Compatibility between Group Fairness and Individual Fairness.	CoRR	2024	DBLP DOI BibTeX RDF
17	Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer	Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.	AAAI	2024	DBLP DOI BibTeX RDF
17	Wenbin Zhang	Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment.	AAAI	2024	DBLP DOI BibTeX RDF
17	Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang	How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.	Trans. Mach. Learn. Res.	2023	DBLP BibTeX RDF
17	Charles Kihungi Njogu, Wang Yang, Humphrey Waita Njogu, Adrian Bosire	BBR-With Enhanced Fairness (BBR-EFRA): A new enhanced RTT fairness for BBR congestion control algorithm.	Comput. Commun.	2023	DBLP DOI BibTeX RDF
17	Avital Shulner-Tal, Tsvi Kuflik, Doron Kliger	Enhancing Fairness Perception - Towards Human-Centred AI and Personalized Explanations Understanding the Factors Influencing Laypeople's Fairness Perceptions of Algorithmic Decisions.	Int. J. Hum. Comput. Interact.	2023	DBLP DOI BibTeX RDF
17	Ehsan Toreini, Maryam Mehrnezhad, Aad van Moorsel	Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems.	CoRR	2023	DBLP DOI BibTeX RDF
17	Adam Wang, Son Nguyen, Albert Montillo	Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data.	CoRR	2023	DBLP DOI BibTeX RDF
17	Giovanni Pellegrini, Vittorio Maria Faraco, Yashar Deldjoo	Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization - A Reproducibility Study.	CoRR	2023	DBLP DOI BibTeX RDF
17	Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu	Understanding Fairness Surrogate Functions in Algorithmic Fairness.	CoRR	2023	DBLP DOI BibTeX RDF
17	Sara Kim, Kyusang Yu, Yongdai Kim	Within-group fairness: A guidance for more sound between-group fairness.	CoRR	2023	DBLP DOI BibTeX RDF
17	Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao 0002, Na Zou, Xia Hu 0001	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.	CoRR	2023	DBLP DOI BibTeX RDF
17	Jacy Reese Anthis, Victor Veitch	Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong	Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation.	CoRR	2023	DBLP DOI BibTeX RDF
17	Manjary P. Gangan, Anoop Kadan, Lajish V. L	Exploring Fairness in Pre-trained Visual Transformer based Natural and GAN Generated Image Detection Systems and Understanding the Impact of Image Compression in Fairness.	CoRR	2023	DBLP DOI BibTeX RDF
17	Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yan Luo, Yu Tian 0001, Min Shi, Tobias Elze, Mengyu Wang 0001	Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.	CoRR	2023	DBLP DOI BibTeX RDF
17	Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter	Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML.	CoRR	2023	DBLP DOI BibTeX RDF
17	Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai 0002, Furong Huang	GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.	CoRR	2023	DBLP DOI BibTeX RDF
17	Giang Nguyen, Sumon Biswas, Hridesh Rajan	Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML.	CoRR	2023	DBLP DOI BibTeX RDF
17	Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal	Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems.	AI Ethics	2023	DBLP DOI BibTeX RDF
17	Sarah Schröder, Alexander Schulz 0001, Ivan Tarakanov, Robert Feldhans, Barbara Hammer	Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation.	IWANN (1)	2023	DBLP DOI BibTeX RDF
17	Sachin Sharma, Vivek Kumar Singh, Kailash Joshi	Fairness of E-Commerce Platform Product Recommendations: Understanding Customers' Perceived Fairness and Equity Sensitivity.	AMCIS	2023	DBLP BibTeX RDF
17	Jessie J. Smith, Lex Beattie, Henriette Cramer	Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective.	WWW	2023	DBLP DOI BibTeX RDF
17	Michael Mayowa Farayola, Irina Tal, Malika Bendechache, Takfarinas Saber, Regina Connolly	Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques.	ARES	2023	DBLP DOI BibTeX RDF
17	Puvarith Veerabulyarith, Seksan Kiatsupaibul	A Fairness Parameter Selection Method for Convex Fairness-aware Classification Models.	MLMI	2023	DBLP DOI BibTeX RDF
17	Giang Nguyen, Sumon Biswas, Hridesh Rajan	Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML.	ESEC/SIGSOFT FSE	2023	DBLP DOI BibTeX RDF
17	Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik	Popularizing Fairness: Group Fairness and Individual Welfare.	AAAI	2023	DBLP DOI BibTeX RDF
17	Xuran Li, Peng Wu 0002, Jing Su	Accurate Fairness: Improving Individual Fairness without Trading Accuracy.	AAAI	2023	DBLP DOI BibTeX RDF
17	Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness.	CHI	2023	DBLP DOI BibTeX RDF
17	Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen 0017	When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation.	RecSys	2023	DBLP DOI BibTeX RDF
17	Antonela Tommasel, Ira Assent	Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems.	IEEE Big Data	2023	DBLP DOI BibTeX RDF
17	Laura Schulze, Manuel Trenz, Zhao Cai, Chee-Wee Tan	Fairness in Algorithmic Management: How Practices Promote Fairness and Redress Unfairness on Digital Labor Platforms.	HICSS	2023	DBLP BibTeX RDF
17	Jacy Reese Anthis, Victor Veitch	Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness.	NeurIPS	2023	DBLP BibTeX RDF
17	Ehsan Toreini, Maryam Mehrnezhad, Aad van Moorsel	Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems.	ESORICS Workshops (2)	2023	DBLP DOI BibTeX RDF
17	Ruta Binkyte	Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints. (Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints).		2023	RDF
17	Carlos Pinzón	Exploring fairness and privacy in machine learning. (Exploring fairness and privacy in machine learning).		2023	RDF
17	Guillaume Bied, Christophe Gaillac, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Solal Nathan, Michèle Sebag	Fairness in job recommendations: estimating, explaining, and reducing gender gaps.	AEQUITAS@ECAI	2023	DBLP BibTeX RDF
17	Eleonora Misino, Roberta Calegari, Michele Lombardi 0001, Michela Milano	FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System.	AEQUITAS@ECAI	2023	DBLP BibTeX RDF
17	Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi 0001, Michela Milano	A geometric framework for fairness.	AEQUITAS@ECAI	2023	DBLP BibTeX RDF
17	Mattias Brännström, Lili Jiang 0002, Andrea Aler Tubella, Virginia Dignum	Impact based fairness framework for socio-technical decision making.	AEQUITAS@ECAI	2023	DBLP BibTeX RDF
17	Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris	Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction.	CLIP/FAIMI/EPIMI@MICCAI	2023	DBLP DOI BibTeX RDF
17	Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala	Revisiting Skin Tone Fairness in Dermatological Lesion Classification.	CLIP/FAIMI/EPIMI@MICCAI	2023	DBLP DOI BibTeX RDF
17	Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter	When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.	EWAF	2023	DBLP BibTeX RDF
17	Lorenzo Porcaro, Carlos Castillo 0001, Emilia Gómez, João Vinagre	Fairness and Diversity in Information Access Systems.	EWAF	2023	DBLP BibTeX RDF
17	Samuel Teuber, Bernhard Beckert	Formally Verified Algorithmic Fairness Using Information-Flow Tools.	EWAF	2023	DBLP BibTeX RDF
17	Camilla Quaresmini, Eugenia Villa, Valentina Breschi, Viola Schiaffonati, Mara Tanelli	Qualification and Quantification of Fairness for Sustainable Mobility Policies.	EWAF	2023	DBLP BibTeX RDF
17	Marcello Di Bello, Nicolò Cangiotti, Michele Loi	Classification Parity, Causal Equal Protection and Algorithmic Fairness.	EWAF	2023	DBLP BibTeX RDF
17	Jan-Laurin Müller	Fairness in Machine Learning as 'Algorithmic Positive Action'.	EWAF	2023	DBLP BibTeX RDF
17	Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena	Provable Fairness for Neural Network Models Using Formal Verification.	EWAF	2023	DBLP BibTeX RDF
17	Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser	Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning?	EWAF	2023	DBLP BibTeX RDF
17	Joshua R. Loftus	It's About Time: Counterfactual Fairness and Temporal Depth.	EWAF	2023	DBLP BibTeX RDF
17	Alex Loosley, Amrollah Seifoddini, Alessandro Canopoli, Meike Zehlike	Body Measurement Prediction Fairness.	EWAF	2023	DBLP BibTeX RDF
17	Evaggelia Pitoura	Pagerank Fairness in Networks.	EWAF	2023	DBLP BibTeX RDF
17	Yasaman Yousefi, Lisa Koutsoviti Koumeri, Magali Legast, Christoph Schommer, Koen Vanhoof, Axel Legay	Compatibility of Fairness Metrics With EU Non-Discrimination Law: A Legal and Technical Case Study.	EWAF	2023	DBLP BibTeX RDF
17	Andreas Nikolaos Athanasopoulos, Amanda Belfrage, David Berg Marklund, Christos Dimitrakakis	Approximate Inference for the Bayesian Fairness Framework.	EWAF	2023	DBLP BibTeX RDF
17	Gabriele Carovano, Alexander Meinke	Improving Fairness and Cybersecurity in the Artificial Intelligence Act.	EWAF	2023	DBLP BibTeX RDF
17	Alessandro Fabris, Fabio Giachelle, Alberto Piva, Gianmaria Silvello, Gian Antonio Susto	A Search Engine for Algorithmic Fairness Datasets.	EWAF	2023	DBLP BibTeX RDF
17	Jan Simson, Florian Pfisterer, Christoph Kern	What If? Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness.	EWAF	2023	DBLP BibTeX RDF
17	Lou Therese Brandner, Philipp Mahlow, Anna Wilken, Annika Wölke, Hazar Harmouch, Simon David Hirsbrunner	How Data Quality Determines AI Fairness: The Case of Automated Interviewing.	EWAF	2023	DBLP BibTeX RDF
17	Joachim Baumann 0002, Corinna Hertweck, Michele Loi, Christoph Heitz	Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making.	EWAF	2023	DBLP BibTeX RDF
17	Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen	On (assessing) the fairness of risk score models.	FAccT	2023	DBLP DOI BibTeX RDF
17	Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt, Julia Stoyanovich	The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.	FAccT	2023	DBLP DOI BibTeX RDF
17	Bilel Benbouzid	Fairness in machine learning from the perspective of sociology of statistics: How machine learning is becoming scientific by turning its back on metrological realism.	FAccT	2023	DBLP DOI BibTeX RDF
17	Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel	"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis.	FAccT	2023	DBLP DOI BibTeX RDF
17	Alessandra Calvi, Dimitris Kotzinos	Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective.	FAccT	2023	DBLP DOI BibTeX RDF
17	Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström, Hannah Devinney, Virginia Dignum, Petter Ericson, Anna Jonsson, Timotheus Kampik, Tom Lenaerts, Julian Alfredo Mendez, Juan Carlos Nieves	ACROCPoLis: A Descriptive Framework for Making Sense of Fairness.	FAccT	2023	DBLP DOI BibTeX RDF
17	Jingyi Yang, Joel Miller, Mesrob Ohannessian	Fairness Auditing in Urban Decisions using LP-based Data Combination.	FAccT	2023	DBLP DOI BibTeX RDF
17	Amina A. Abdu, Irene V. Pasquetto, Abigail Z. Jacobs	An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature.	FAccT	2023	DBLP DOI BibTeX RDF
17	Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu 0001	Disentangling and Operationalizing AI Fairness at LinkedIn.	FAccT	2023	DBLP DOI BibTeX RDF
17	Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti	Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods.	FAccT	2023	DBLP DOI BibTeX RDF
17	MaryBeth Defrance, Tijl De Bie	Maximal fairness.	FAccT	2023	DBLP DOI BibTeX RDF
17	Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison	Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking.	FAccT	2023	DBLP DOI BibTeX RDF
17	Alexander Peysakhovich, Christian Kroer, Nicolas Usunier	Implementing Fairness Constraints in Markets Using Taxes and Subsidies.	FAccT	2023	DBLP DOI BibTeX RDF
17	Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Kenneth Holstein, Michael Madaio	Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice.	FAccT	2023	DBLP DOI BibTeX RDF
17	Laura Cabello, Anna Katrine Jørgensen, Anders Søgaard	On the Independence of Association Bias and Empirical Fairness in Language Models.	FAccT	2023	DBLP DOI BibTeX RDF
17	Brianna Richardson, Prasanna Sattigeri, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Amit Dhurandhar, Juan E. Gilbert	Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness.	FAccT	2023	DBLP DOI BibTeX RDF
17	David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel	Group fairness without demographics using social networks.	FAccT	2023	DBLP DOI BibTeX RDF
17	Xin Chen 0026, Zexing Xu, Zishuo Zhao, Yuan Zhou 0007	Personalized Pricing with Group Fairness Constraint.	FAccT	2023	DBLP DOI BibTeX RDF
17	Thomas A. Henzinger, Mahyar Karimi, Konstantin Kueffner, Kaushik Mallik	Runtime Monitoring of Dynamic Fairness Properties.	FAccT	2023	DBLP DOI BibTeX RDF
17	Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi	In the Name of Fairness: Assessing the Bias in Clinical Record De-identification.	FAccT	2023	DBLP DOI BibTeX RDF
17	Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova	Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints.	FAccT	2023	DBLP DOI BibTeX RDF
17	Ana Valdivia, Martina Tazzioli	Datafication Genealogies beyond Algorithmic Fairness: Making Up Racialised Subjects.	FAccT	2023	DBLP DOI BibTeX RDF
17	Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi	Robustness Implies Fairness in Causal Algorithmic Recourse.	FAccT	2023	DBLP DOI BibTeX RDF
17	Joshua Gardner, Renzhe Yu, Quan Nguyen 0003, Christopher Brooks 0001, René F. Kizilcec	Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.	FAccT	2023	DBLP DOI BibTeX RDF
17	Prakhar Ganesh, Hongyan Chang, Martin Strobel 0001, Reza Shokri	On The Impact of Machine Learning Randomness on Group Fairness.	FAccT	2023	DBLP DOI BibTeX RDF
17	José M. Álvarez 0002, Kristen M. Scott, Bettina Berendt, Salvatore Ruggieri	Domain Adaptive Decision Trees: Implications for Accuracy and Fairness.	FAccT	2023	DBLP DOI BibTeX RDF
17	Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke, Amy Voida	The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation.	FAccT	2023	DBLP DOI BibTeX RDF
17	Zahid Irfan, Fergal McCaffery, Róisín Loughran	Evaluating Fairness Metrics.	BIAS	2023	DBLP DOI BibTeX RDF
17	Shanjiang Tang, Ce Yu, Yusen Li	Fairness-Efficiency Scheduling for Cloud Computing With Soft Fairness Guarantees.	IEEE Trans. Cloud Comput.	2022	DBLP DOI BibTeX RDF
17	Avital Shulner-Tal, Tsvi Kuflik, Doron Kliger	Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users' perceptions of fairness toward an algorithmic system.	Ethics Inf. Technol.	2022	DBLP DOI BibTeX RDF
17	Lindsay Weinberg	Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches.	J. Artif. Intell. Res.	2022	DBLP DOI BibTeX RDF
17	McKane Andrus, Sarah Villeneuve	Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness.	CoRR	2022	DBLP DOI BibTeX RDF
17	Atasi Panda, Anand Louis, Prajakta Nimbhorkar	Bipartite Matchings with Group Fairness and Individual Fairness Constraints.	CoRR	2022	DBLP DOI BibTeX RDF
17	Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal	Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems.	CoRR	2022	DBLP BibTeX RDF
17	Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho	Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models.	CoRR	2022	DBLP DOI BibTeX RDF
17	Camille Olivia Little, Michael Weylandt, Genevera I. Allen	To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier.	CoRR	2022	DBLP DOI BibTeX RDF