Sex and Gender Bias in Artificial Intelligence and Health

Autor: Nataly Buslón Valdez, Maria José Rementeria, Bioinfo4Women
Přispěvatelé: Atia Cortés, Davide Cirillo, Eva Alloza, Nataly Buslón Valdez, Eva Navarrete
Jazyk: angličtina
Rok vydání: 2021
Předmět:
DOI: 10.5281/zenodo.5513515
Popis: This report summarizes the Sex and Gender Bias in Artificial Intelligence and Health series coordinated by the Bioinfo4Women programme of the Life Sciences Department of the Barcelona Supercomputing Center (BSC) supported by La Caixa Foundation during 2021. This report contains the activities developed,outcomes of the workshops, guidelines, recommendations, and the main conclusions on the topic analyzed. The series was structured on two main themes: (1) personalised medicine and (2) artificial intelligence. Each theme included different activities: a seminar, a working group, and a participatory workshop. The goal of these activities was to allow and encourage discussion between scientists and prominent representatives from different fields (business, media, NGOs, research institutes, and public administration, among others) and to raise awareness of sex and gender bias in health and the risk of amplifying and perpetuating bias through artificial intelligence. Likewise, it was developed to promote collaboration and debate networks that could contribute to knowledge generation, such as publishing scientific articles on the topic and to inspire, promote, and apply to research projects with a social impact.  
Databáze: OpenAIRE