Work

Healthcare AI, explainability, and the human-machine relationship: a (not so) novel practical challenge

Year: 2025

Type: article

Abstract: This paper focuses on the lack of explainability that afflicts machine-learning-based AI systems applied in the field of healthcare. After a brief introduction to the topic, from both a technical and legal point of view, this work aims to assess the main consequences that the lack of explainability has on the human-machine relationship in clinical care, through a practical perspective. It then questions whether explainability is truly an objective worth seeking and, if so, to what extent, taking into account the current possible solutions.

Source: Frontiers in Medicine

DOI: 10.3389/fmed.2025.1545409

Authors: Claudia Giorgetti, Giuseppe Contissa, Giuseppe Basile

Institutions: University of Bologna, Marche Polytechnic University

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801