Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

15 April 2020

Alejandro Peña

Ignacio Serna

Aythami Morales

Julian Fierrez

Papers citing "Bias in Multimodal AI: Testbed for Fair Automatic Recruitment"

7 / 7 papers shown

Title
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 25 34 0 13 Feb 2023
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 23 138 0 17 May 2021
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild Joseph P. Robinson Can Qin Yann Henon Samson Timoner Y. Fu 24 25 0 16 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics Philipp Terhörst J. Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 29 115 0 02 Mar 2021
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment Alfonso Ortega Julian Fierrez Aythami Morales Zilong Wang Tony Ribeiro 17 13 0 01 Dec 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML CVBM 25 74 0 22 Apr 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 135 200 0 05 Mar 2020