Artificial intelligence and health: resituating the problem

• Autor(a) principal: Bruno, Fernanda
• Data de Publicação: 2023
• Outros Autores: Pereira, Paula Cardoso, Faltay, Paulo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: RECIIS (Online)
• Texto Completo: https://www.reciis.icict.fiocruz.br/index.php/reciis/article/view/3842
• topic: Artificial intelligence; Relational ontology; Health; Data extractivism; Inteligencia artificial; Ontología relacional; Salud; Extrativismo de datos; Inteligência artificial; Ontologia relacional; Sa´´ude; Extrativismo de dados

In the face of artificial intelligence recent advances, this note seeks to reassess fundamental questions that emerge in this context. Moving away from both salvationist and apocalyptic readings, we argue that the human exceptionalism privilege loss can be an opportunity to rethink intelligence from a relational and co-produced perspective between humans and other-than-humans. Such an angle, however, must be accompanied by a careful examination of the power relations that largely define the fate of AI. On this aspect, we reflect on the implications of the hegemonic epistemic and business model of AI, a predictive-accelerationist one dominated by large technology companies. Lastly, we highlight the risks involved in the inclusion of intelligent machines in the fields of health and care, as well as the dangers of subordinating public values and rights to commercial interests, which demands attentive, collective and permanent care in the construction of sociotechnical and political arrangements for the implementation of AI in this field.