BAIHA: Addressing Sex and Gender Bias in AI for Healthcare Applications

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-26
DOI
https://doi.org/10.5281/zenodo.13842359
Primary Topic
History, Culture, and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

BAIHA: Addressing Sex and Gender Bias in AI for Healthcare Applications

Zenodo (CERN European Organization for Nuclear Research)
History, Culture, and Society
article

BAIHA: Addressing Sex and Gender Bias in AI for Healthcare Applications

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Barcelona Supercomputing Center (ES), Universitat Politècnica de Catalunya (ES)
Gender equality
Openalex Percentile: Top 37%
History, Culture, and Society
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