121 citations · 143 across the 22 of their papers we have counts for
6 papers · 1 filter
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities
Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh
The potential harms of the under-representation of minorities in training data, particularly in multi-modal settings, is a well-recognized concern. While there has been extensive e…
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh +1
Despite the potential benefits of machine learning (ML) in high-risk decision-making domains, the deployment of ML is not accessible to practitioners, and there is a risk of discri…
Finding Representative Group Fairness Metrics Using Correlation Estimations
Hadis Anahideh, Nazanin Nezami, Abolfazl Asudeh
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling…
Fair Active Learning
Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan
Machine learning (ML) is increasingly being used in high-stakes applications impacting society. Therefore, it is of critical importance that ML models do not propagate discriminati…
Fair Active Learning
Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan
Machine learning (ML) is increasingly being used in high-stakes applications impacting society. Therefore, it is of critical importance that ML models do not propagate discriminati…
Responsible Scoring Mechanisms Through Function Sampling
Abolfazl Asudeh, H. V. Jagadish
Human decision-makers often receive assistance from data-driven algorithmic systems that provide a score for evaluating objects, including individuals. The scores are generated by…