3 citations · 3 across the 1 of their papers we have counts for
4 papers
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales +1
With the aim of studying how current multimodal AI algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, this de…
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales +1
The presence of decision-making algorithms in society is rapidly increasing nowadays, while concerns about their transparency and the possibility of these algorithms becoming new s…
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna, Alejandro Peña, Aythami Morales +1
This work explores the biases in learning processes based on deep neural network architectures. We analyze how bias affects deep learning processes through a toy example using the…
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
Ignacio Serna, Aythami Morales, Julian Fierrez +3
The most popular face recognition benchmarks assume a distribution of subjects without much attention to their demographic attributes. In this work, we perform a comprehensive disc…