Gender, health, and AI: how using AI to empower women could positively impact the sustainable development goals

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• dc.contributor.author García Micó, Tomàs Gabriel
• dc.contributor.author Laukyte, Migle
• dc.date.accessioned 2025-01-08T10:01:59Z
• dc.date.available 2025-01-08T10:01:59Z
• dc.date.issued 2023
• dc.description.abstract It appears to be something wrong if a person’s health is related to gender. Indeed, we might have continued to link this dependency (health-gender) to other factors—such as education or income—had it not been for the use of artificial intelligence-based systems in medicine and healthcare, which made us more aware of a broader picture of how medical research and practice has not taken male and female bodies into account equally. Nonetheless, AI has to be trustworthy, and for that purpose, it shall be lawful, ethical, and robust. But how lawful and ethical can it be if it leaves half of humanity out of the picture? Hence the focus of this chapter is to address how medical AI could positively impact the achievement of gender equality as a Sustainable Development Goal (SDG). In particular, we use several use cases to highlight how medical AI applications have made it evident that there is an enormous data gap between male and female sex involvement in clinical trials, disease treatment, and other medical therapies and that this data gap is the reason why so many AI applications are biased, limited, and inefficient. Filling this gap would mean improving and increasing data generation that would reflect particularities and specificities of female bodies and enable female representation in training algorithms.
• dc.format.mimetype application/pdf
• dc.identifier.citation García-Micó TG, Laukyte M. Gender, health, and AI: how using AI to empower women could positively impact the sustainable development goals. In: Mazzi F, Floridi L (eds.). The ethics of artificial intelligence for the sustainable development goals. Cham: Springer; 2023. p. 291-304. DOI: 10.1007/978-3-031-21147-8_16
• dc.identifier.doi https://doi.org/10.1007/978-3-031-21147-8_16
• dc.identifier.isbn 9783031211461
• dc.identifier.uri http://hdl.handle.net/10230/69022
• dc.language.iso eng
• dc.publisher SpringerNature
• dc.relation.ispartof Mazzi F, Floridi L (eds.). The ethics of artificial intelligence for the sustainable development goals. Cham: Springer; 2023. p. 291-304.
• dc.rights © SpringerNature This is a author's accepted manuscript of: García-Micó TG, Laukyte M. Gender, health, and AI: how using AI to empower women could positively impact the sustainable development goals. In: Mazzi F, Floridi L (eds.). The ethics of artificial intelligence for the sustainable development goals. Cham: Springer; 2023. The final version is available online at: http://dx.doi.org/10.1007/978-3-031-21147-8_16
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Gender
• dc.subject.keyword AI
• dc.subject.keyword Health
• dc.subject.keyword Empowerment
• dc.subject.keyword Sustainable Development Goals
• dc.subject.keyword Discrimination
• dc.title Gender, health, and AI: how using AI to empower women could positively impact the sustainable development goals
• dc.type info:eu-repo/semantics/bookPart
• dc.type.version info:eu-repo/semantics/acceptedVersion