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Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark
  Datasets

Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets

28 January 2023
Tosin P. Adewumi
Isabella Sodergren
Lama Alkhaled
Sana Sabah Sabry
F. Liwicki
Marcus Liwicki
ArXivPDFHTML

Papers citing "Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets"

5 / 5 papers shown
Title
Fairness and Bias in Multimodal AI: A Survey
Fairness and Bias in Multimodal AI: A Survey
Tosin P. Adewumi
Lama Alkhaled
Namrata Gurung
G. V. Boven
Irene Pagliai
48
9
0
27 Jun 2024
Data Bias According to Bipol: Men are Naturally Right and It is the Role
  of Women to Follow Their Lead
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
Irene Pagliai
G. V. Boven
Tosin P. Adewumi
Lama Alkhaled
Namrata Gurung
Isabella Sodergren
Elisa Barney
29
1
0
07 Apr 2024
Bipol: A Novel Multi-Axes Bias Evaluation Metric with Explainability for
  NLP
Bipol: A Novel Multi-Axes Bias Evaluation Metric with Explainability for NLP
Lama Alkhaled
Tosin P. Adewumi
Sana Sabah Sabry
25
8
0
08 Apr 2023
Evaluating Debiasing Techniques for Intersectional Biases
Evaluating Debiasing Techniques for Intersectional Biases
Shivashankar Subramanian
Xudong Han
Timothy Baldwin
Trevor Cohn
Lea Frermann
77
49
0
21 Sep 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
1