Published September 26, 2024
| Version v1
Poster
Open
BAIHA: Addressing Sex and Gender Bias in AI for Healthcare Applications
Authors/Creators
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Furtick, Claire
(Researcher)1
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Morales Martínez, María
(Researcher)1
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Hernandez-Ferrer, Carles
(Researcher)1, 2
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Codó, Laia
(Researcher)1, 2
- Bagdadi, Fatemeh (Researcher)1
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Portell-Silva, Laura
(Researcher)1, 2
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Cirillo, Davide
(Researcher)1
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Rementeria Nuñez, María José
(Project leader)1
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Capella-Gutierrez, Salvador
(Project leader)1, 2
- Bioinfo4Women (Research group)1
-
1.
Barcelona Supercomputing Center
-
2.
ELIXIR
Description
Presented Poster in 23rd European Conference on Computational Biology 2024 in Turku, Findland.
The Bias in AI-Health Applications initiative (BAIHA) is a proposal to address sex and gender bias in AI healthcare solutions with the ultimate goal of ensuring that decisions based on these tools are fair, unbiased, and reliable. BAIHA project aims to bring together a transdisciplinary community of experts in biomedicine, AI, healthcare, ethics, legal issues and bias in order to establish standardized quality indicators and evaluation metrics to validate healthcare solutions based on these fundamental aspects.
Files
Bias In Healthcare Applications (BAIHA) - Poster.pdf
Files
(3.5 MB)
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Additional details
References
- Bionfo4Women
- B4W
- Barcelona Supercomputing Center
- BSC