Activities per year
Abstract
Nel mondo della medicina digitale, l’intelligenza artificiale sta diventando uno strumento sempre più diffuso. Tuttavia, questa accelerazione tecnologica porta con sé rischi spesso sottovalutati. I dati clinici perdono autenticità se automatizzati senza verifica umana. Algoritmi basati su dati incompleti o distorti possono generare risposte ingannevoli e diagnosi errate, anche se apparentemente plausibili. Il problema si aggrava quando l’IA sostituisce il giudizio medico creando un sistema opaco e poco responsabile che compromette la salute dei pazienti. In questi casi, l’IA smette di essere una tecnologia al servizio dell’uomo e diventa un fattore di deresponsabilizzazione e pericolosa discriminazione. Per questo è essenziale che resti uno strumento di supporto, guidato da trasparenza, controllo umano e rigore scientifico, a tutela della cura e della verità clinica.
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In the world of digital medicine, artificial intelligence is becoming an increasingly widespread tool. However, this technological acceleration brings with it risks that are often underestimated. Clinical data lose authenticity if automated without human verification. Algorithms based on incomplete or distorted data can generate misleading responses and incorrect diagnoses, even if they appear plausible. The problem worsens when AI replaces medical judgment, creating an opaque and irresponsible system that compromises patient health. In such cases, AI ceases to be a technology serving humanity and becomes a factor of irresponsibility and dangerous discrimination. Therefore, it is essential that it remains a support tool, guided by transparency, human oversight, and scientific rigor, in defense of care and clinical truth.
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In the world of digital medicine, artificial intelligence is becoming an increasingly widespread tool. However, this technological acceleration brings with it risks that are often underestimated. Clinical data lose authenticity if automated without human verification. Algorithms based on incomplete or distorted data can generate misleading responses and incorrect diagnoses, even if they appear plausible. The problem worsens when AI replaces medical judgment, creating an opaque and irresponsible system that compromises patient health. In such cases, AI ceases to be a technology serving humanity and becomes a factor of irresponsibility and dangerous discrimination. Therefore, it is essential that it remains a support tool, guided by transparency, human oversight, and scientific rigor, in defense of care and clinical truth.
| Translated title of the contribution | Applications of Artificial Intelligence: Deviations from Authenticity and Fairness in the Medical-Healthcare Field |
|---|---|
| Original language | Italian |
| Number of pages | 7 |
| Volume | 6 |
| Specialist publication | Digeat |
| Publication status | Published - 19 Jun 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- artificial intelligence
- law
ASJC Scopus subject areas
- Law
Fingerprint
Dive into the research topics of 'Applications of Artificial Intelligence: Deviations from Authenticity and Fairness in the Medical-Healthcare Field'. Together they form a unique fingerprint.Activities
- 1 Membership of committee
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Società Italiana di Telemedicina (External organisation)
Giardini, M. E. (Chair)
29 Oct 2023 → …Activity: Membership types › Membership of committee
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