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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
ArXiv (abs)PDFHTML

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

23 / 23 papers shown
Title
Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
Jorge Saldivar
Anna Gatzioura
Carlos Castillo
SyDa
100
1
0
28 Aug 2025
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
Alejandro Peña
Julian Fierrez
Aythami Morales
Gonzalo Mancera
Miguel Lopez
Ruben Tolosana
138
6
0
13 Jun 2025
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals
Dena F. Mujtaba
Nihar R. Mahapatra
236
0
0
17 May 2025
More is Less? A Simulation-Based Approach to Dynamic Interactions
  between Biases in Multimodal Models
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models
Mounia Drissi
145
0
0
23 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past,
  Present and Future
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
Jing Liu
N. Shah
Ping Chen
316
19
0
18 Dec 2024
FaceX: Understanding Face Attribute Classifiers through Summary Model
  Explanations
FaceX: Understanding Face Attribute Classifiers through Summary Model ExplanationsInternational Conference on Multimedia Retrieval (ICMR), 2024
Ioannis Sarridis
C. Koutlis
Symeon Papadopoulos
Christos Diou
CVBM
226
1
0
10 Dec 2024
BiasEye: A Bias-Aware Real-time Interactive Material Screening System
  for Impartial Candidate Assessment
BiasEye: A Bias-Aware Real-time Interactive Material Screening System for Impartial Candidate Assessment
Qianyu Liu
Haoran Jiang
Zihao Pan
Qiushi Han
Zhenhui Peng
Quan Li
209
8
0
14 Feb 2024
A Survey on Safe Multi-Modal Learning System
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
443
21
0
08 Feb 2024
Identifying and Improving Disability Bias in GPT-Based Resume Screening
Identifying and Improving Disability Bias in GPT-Based Resume ScreeningConference on Fairness, Accountability and Transparency (FAccT), 2024
Kate Glazko
Yusuf Mohammed
Ben Kosa
Venkatesh Potluri
Jennifer Mankoff
193
62
0
28 Jan 2024
Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT
Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT
Mohammad Ronagh Nikghalb
Jinghui Cheng
216
8
0
16 Jan 2024
"I'm Not Confident in Debiasing AI Systems Since I Know Too Little":
  Teaching AI Creators About Gender Bias Through Hands-on Tutorials
"I'm Not Confident in Debiasing AI Systems Since I Know Too Little": Teaching AI Creators About Gender Bias Through Hands-on Tutorials
Kyrie Zhixuan Zhou
Jiaxun Cao
Xiaowen Yuan
Daniel E. Weissglass
Zachary Kilhoffer
M. Sanfilippo
Xin Tong
FaML
134
5
0
15 Sep 2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
A Comprehensive Survey of Artificial Intelligence Techniques for Talent AnalyticsProceedings of the IEEE (Proc. IEEE), 2023
Chuan Qin
Le Zhang
Yihang Cheng
Rui Zha
Dazhong Shen
...
Xi Chen
Ying Sun
Chen Zhu
Hengshu Zhu
Hui Xiong
204
59
0
03 Jul 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based RecruitmentSN Computer Science (SN Comput. Sci.), 2023
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
156
51
0
13 Feb 2023
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural NetsIEEE Access (IEEE Access), 2021
Gargi Joshi
Rahee Walambe
K. Kotecha
305
169
0
17 May 2021
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Balancing Biases and Preserving Privacy on Balanced Faces in the WildIEEE Transactions on Image Processing (TIP), 2021
Joseph P. Robinson
Can Qin
Yann Henon
Samson Timoner
Y. Fu
378
30
0
16 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics
A Comprehensive Study on Face Recognition Biases Beyond DemographicsIEEE Transactions on Technology and Society (IEEE TTS), 2021
Philipp Terhörst
Jan Niklas Kolf
Marco Huber
Florian Kirchbuchner
Naser Damer
Aythami Morales
Julian Fierrez
Arjan Kuijper
160
134
0
02 Mar 2021
Fusing CNNs and statistical indicators to improve image classification
Fusing CNNs and statistical indicators to improve image classificationInformation Fusion (Inf. Fusion), 2020
Javier Huertas-Tato
Alejandro Martín
Julián Fierrez
David Camacho
186
42
0
20 Dec 2020
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and
  Explainable Automatic Recruitment
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
Alfonso Ortega
Julian Fierrez
Aythami Morales
Zilong Wang
Tony Ribeiro
197
14
0
01 Dec 2020
Multimodal Research in Vision and Language: A Review of Current and
  Emerging Trends
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
Shagun Uppal
Sarthak Bhagat
Devamanyu Hazarika
Navonil Majumdar
Soujanya Poria
Roger Zimmermann
Amir Zadeh
245
6
0
19 Oct 2020
Learning Emotional-Blinded Face Representations
Learning Emotional-Blinded Face RepresentationsInternational Conference on Pattern Recognition (ICPR), 2020
Alejandro Peña
Julian Fierrez
Àgata Lapedriza
Aythami Morales
CVBM
116
14
0
18 Sep 2020
FairCVtest Demo: Understanding Bias in Multimodal Learning with a
  Testbed in Fair Automatic Recruitment
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic RecruitmentInternational Conference on Multimodal Interaction (ICMI), 2020
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
FaML
85
13
0
12 Sep 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
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
FaMLCVBM
164
92
0
22 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender BiometricsInternational Conference on Pattern Recognition (ICPR), 2020
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
185
71
0
14 Apr 2020
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