Medicine to the test of Artificial Intelligence – The enormous potentialities of Artificial Intelligence are clearly expressed also in the healthcare and medicine sector where AI instruments could improve diagnosis and care, by prompting rapid and automated responses to complex issues. Notwithstanding this potential, AI in medicine imposes serious ethical and legal evaluations, considering biases, lack of transparency as well as the impact of automation and algorithms not only on patients’ rights but also on the patient-doctor relationship. The present paper aims at briefly presenting these challenges, highlighting the importance of an inter-disciplinary dialogue and a profound debate between different sciences and experts, in order to promote comprehensive legal solutions and innovative regulatory disciplines.

La medicina alla prova dell’Intelligenza Artificiale / Scaffardi, Lucia. - In: DPCE ONLINE. - ISSN 2037-6677. - 1/2022(2022), pp. 349-359. [10.57660/dpceonline.2022.1578]

La medicina alla prova dell’Intelligenza Artificiale

Lucia Scaffardi
2022-01-01

Abstract

Medicine to the test of Artificial Intelligence – The enormous potentialities of Artificial Intelligence are clearly expressed also in the healthcare and medicine sector where AI instruments could improve diagnosis and care, by prompting rapid and automated responses to complex issues. Notwithstanding this potential, AI in medicine imposes serious ethical and legal evaluations, considering biases, lack of transparency as well as the impact of automation and algorithms not only on patients’ rights but also on the patient-doctor relationship. The present paper aims at briefly presenting these challenges, highlighting the importance of an inter-disciplinary dialogue and a profound debate between different sciences and experts, in order to promote comprehensive legal solutions and innovative regulatory disciplines.
2022
La medicina alla prova dell’Intelligenza Artificiale / Scaffardi, Lucia. - In: DPCE ONLINE. - ISSN 2037-6677. - 1/2022(2022), pp. 349-359. [10.57660/dpceonline.2022.1578]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2933359
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