Raising awareness of sex and gender bias in artificial intelligence and health

Historically, biomedical research has been led by and focused on men. The recent introduction of Artificial Intelligence (AI) in this area has further proven this practice to be discriminatory for other sexes and genders, more noticeably for women. To move towards a fair AI development, it is essent...

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Vydané v:Frontiers in Global Women's Health Ročník 4; s. 970312
Hlavní autori: Buslón, Nataly, Cortés, Atia, Catuara-Solarz, Silvina, Cirillo, Davide, Rementeria, Maria José
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland Frontiers Media SA 06.09.2023
Frontiers Media S.A
Predmet:
Artificial intelligence
Bias
bias in science
gender bias
gender policies
Global Women's Health
health
Precision medicine
Seminars
Womens health
Workshops
gender policies
AI
gender bias
health
bias in science
ISSN:2673-5059, 2673-5059
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Shrnutí:Historically, biomedical research has been led by and focused on men. The recent introduction of Artificial Intelligence (AI) in this area has further proven this practice to be discriminatory for other sexes and genders, more noticeably for women. To move towards a fair AI development, it is essential to include sex and gender diversity both in research practices and in the workplace. In this context, the Bioinfo4women (B4W) program of the Barcelona Supercomputing Center (i) promotes the participation of women scientists by improving their visibility, (ii) fosters international collaborations between institutions and programs and (iii) advances research on sex and gender bias in AI and health. In this article, we discuss methodology and results of a series of conferences, titled “Sex and Gender Bias in Artificial Intelligence and Health, organized by B4W and La Caixa Foundation from March to June 2021 in Barcelona, Spain. The series consisted of nine hybrid events, composed of keynote sessions and seminars open to the general audience, and two working groups with invited experts from different professional backgrounds (academic fields such as biology, engineering, and sociology, as well as NGOs, journalists, lawyers, policymakers, industry). Based on this awareness-raising action, we distilled key recommendations to facilitate the inclusion of sex and gender perspective into public policies, educational programs, industry, and biomedical research, among other sectors, and help overcome sex and gender biases in AI and health.
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Edited by: Sanne Peters, Imperial College London, United Kingdom
Reviewed by: Carinna Hockham, Imperial College London, United Kingdom
ISSN:2673-5059
2673-5059
DOI:10.3389/fgwh.2023.970312