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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512182/ https://www.ncbi.nlm.nih.gov/pubmed/37746321 http://dx.doi.org/10.3389/fgwh.2023.970312 |
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author | Buslón, Nataly Cortés, Atia Catuara-Solarz, Silvina Cirillo, Davide Rementeria, Maria José |
author_facet | Buslón, Nataly Cortés, Atia Catuara-Solarz, Silvina Cirillo, Davide Rementeria, Maria José |
author_sort | Buslón, Nataly |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10512182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105121822023-09-22 Raising awareness of sex and gender bias in artificial intelligence and health Buslón, Nataly Cortés, Atia Catuara-Solarz, Silvina Cirillo, Davide Rementeria, Maria José Front Glob Womens Health Global Women's 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 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. Frontiers Media S.A. 2023-09-06 /pmc/articles/PMC10512182/ /pubmed/37746321 http://dx.doi.org/10.3389/fgwh.2023.970312 Text en © 2023 Buslón, Cortés, Catuara-Solarz, Cirillo and Rementeria. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Global Women's Health Buslón, Nataly Cortés, Atia Catuara-Solarz, Silvina Cirillo, Davide Rementeria, Maria José Raising awareness of sex and gender bias in artificial intelligence and health |
title | Raising awareness of sex and gender bias in artificial intelligence and health |
title_full | Raising awareness of sex and gender bias in artificial intelligence and health |
title_fullStr | Raising awareness of sex and gender bias in artificial intelligence and health |
title_full_unstemmed | Raising awareness of sex and gender bias in artificial intelligence and health |
title_short | Raising awareness of sex and gender bias in artificial intelligence and health |
title_sort | raising awareness of sex and gender bias in artificial intelligence and health |
topic | Global Women's Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512182/ https://www.ncbi.nlm.nih.gov/pubmed/37746321 http://dx.doi.org/10.3389/fgwh.2023.970312 |
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