2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness
Andres Algaba, Carmen Mazijn, Carina Prunkl +2
Most group fairness notions detect unethical biases by computing statistical parity metrics on a model's output. However, this approach suffers from several shortcomings, such as p…
cs.LG2022★ 2 cited
LUCID: Exposing Algorithmic Bias through Inverse Design
Carmen Mazijn, Carina Prunkl, Andres Algaba +2
AI systems can create, propagate, support, and automate bias in decision-making processes. To mitigate biased decisions, we both need to understand the origin of the bias and defin…