Connecting Black women in computational biology

Chirigati, Fernando; Rastogi, Ananya

doi:10.1038/s43588-020-00013-8

Cited by 1 publication

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“…Enhancing women's representation in science, technology, engineering, and mathematics (STEM) disciplines, especially computational biology and bioinformatics, is crucial to fight existing and emerging sex and gender bias in AI and health. Underrepresentation of women in these fields has been largely reported ( 7 , 8 ) and a number of initiatives, increasingly focused on intersectionality ( 9 , 10 ), have been created. Forms of discrimination against women have been reported in several aspects related to computational biomedical research, including mainstream domain conferences ( 11 ), career transitions ( 12 ), citations in high-impact journals ( 13 ), among many others.…”

Section: Introductionmentioning

confidence: 99%

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

Buslón,

Cortés,

Catuara-Solarz

et al. 2023

Front. Glob. Womens Health

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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 â€œSex 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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