Fairness
1188 papers with code • 3 benchmarks • 20 datasets
Benchmarks
These leaderboards are used to track progress in Fairness
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Libraries
Use these libraries to find Fairness models and implementations
Netflix Prize
UTKFace
MORPH
FairFace
WinoBias
GVGAI
HELP
MIAP
Latest papers with no code
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness
When decisions are made and when personal data is treated by automated processes, there is an expectation of fairness -- that members of different demographic groups receive equitable treatment.
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks
FairGI employs the similarity matrix of individuals to achieve individual fairness within groups, while leveraging adversarial learning to address group fairness in terms of both Equal Opportunity and Statistical Parity.
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
We study the data packet transmission problem (mmDPT) in dense cell-free millimeter wave (mmWave) networks, i. e., users sending data packet requests to access points (APs) via uplinks and APs transmitting requested data packets to users via downlinks.
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
Recent dataset deduplication techniques have demonstrated that content-aware dataset pruning can dramatically reduce the cost of training Vision-Language Pretrained (VLP) models without significant performance losses compared to training on the original dataset.
Joint operation of a fast-charging EV hub with a stand-alone independent battery storage system under fairness considerations
In this paper, we study a novel usage of the stand-alone BSS whereby in addition to participating in the electricity reserve market, it allows an EV hub to use a part of its storage capacity, when profitable.
Identifying Fairness Issues in Automatically Generated Testing Content
Natural language generation tools are powerful and effective for generating content.
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
Demographic data is highly categorical which led to binary encoding being used and various fairness measures being utilized to mitigate bias of nine demographic variables.
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
Biometric Verification (BV) systems often exhibit accuracy disparities across different demographic groups, leading to biases in BV applications.
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Smart home systems are gaining popularity as homeowners strive to enhance their living and working environments while minimizing energy consumption.
Fair Concurrent Training of Multiple Models in Federated Learning
We show how our fairness-based learning and incentive mechanisms impact training convergence and finally evaluate our algorithm with multiple sets of learning tasks on real world datasets.
