8 citations · 10 across the 3 of their papers we have counts for
3 papers
Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science
Vincent Holst, Andres Algaba, Floriano Tori +2
Park et al. [1] reported a decline in the disruptiveness of scientific and technological knowledge over time. Their main finding is based on the computation of CD indices, a measur…
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…
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…