Bias mitigation for machine learning classifiers: A comprehensive survey
This article provides a comprehensive survey of bias mitigation methods for achieving
fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning …
fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning …
Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings
I Shrestha, P Srinivasan - … of the 31st International Conference on …, 2025 - aclanthology.org
While there has been considerable amount of research on bias mitigation algorithms, two
properties: multi-community perspective and fairness to* all* communities have not been …
properties: multi-community perspective and fairness to* all* communities have not been …
Backdoor Attacks and Generative Model Fairness: Current Trends and Future Research Directions
The evolution of Artificial Intelligence (AI) holds colossal promise for automating tasks,
driving innovation, and positively impacting industries. However, as AI becomes increasingly …
driving innovation, and positively impacting industries. However, as AI becomes increasingly …
Investigating trade-offs for fair machine learning systems
M Hort - 2023 - discovery.ucl.ac.uk
Fairness in software systems aims to provide algorithms that operate in a nondiscriminatory
manner, with respect to protected attributes such as gender, race, or age. Ensuring fairness …
manner, with respect to protected attributes such as gender, race, or age. Ensuring fairness …