Titre
Integrating ethics in AI development: a qualitative study.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Arbelaez Ossa, L.
Auteure/Auteur
Lorenzini, G.
Auteure/Auteur
Milford, S.R.
Auteure/Auteur
Shaw, D.
Auteure/Auteur
Elger, B.S.
Auteure/Auteur
Rost, M.
Auteure/Auteur
Liens vers les unités
ISSN
1472-6939
Statut éditorial
Publié
Date de publication
2024-01-23
Volume
25
Numéro
1
Première page
10
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Résumé
While the theoretical benefits and harms of Artificial Intelligence (AI) have been widely discussed in academic literature, empirical evidence remains elusive regarding the practical ethical challenges of developing AI for healthcare. Bridging the gap between theory and practice is an essential step in understanding how to ethically align AI for healthcare. Therefore, this research examines the concerns and challenges perceived by experts in developing ethical AI that addresses the healthcare context and needs.
We conducted semi-structured interviews with 41 AI experts and analyzed the data using reflective thematic analysis.
We developed three themes that expressed the considerations perceived by experts as essential for ensuring AI aligns with ethical practices within healthcare. The first theme explores the ethical significance of introducing AI with a clear and purposeful objective. The second theme focuses on how experts are concerned about the tension that exists between economic incentives and the importance of prioritizing the interests of doctors and patients. The third theme illustrates the need to develop context-sensitive AI for healthcare that is informed by its underlying theoretical foundations.
The three themes collectively emphasized that beyond being innovative, AI must genuinely benefit healthcare and its stakeholders, meaning AI also aligns with intricate and context-specific healthcare practices. Our findings signal that instead of narrow product-specific AI guidance, ethical AI development may need a systemic, proactive perspective that includes the ethical considerations (objectives, actors, and context) and focuses on healthcare applications. Ethically developing AI involves a complex interplay between AI, ethics, healthcare, and multiple stakeholders.
We conducted semi-structured interviews with 41 AI experts and analyzed the data using reflective thematic analysis.
We developed three themes that expressed the considerations perceived by experts as essential for ensuring AI aligns with ethical practices within healthcare. The first theme explores the ethical significance of introducing AI with a clear and purposeful objective. The second theme focuses on how experts are concerned about the tension that exists between economic incentives and the importance of prioritizing the interests of doctors and patients. The third theme illustrates the need to develop context-sensitive AI for healthcare that is informed by its underlying theoretical foundations.
The three themes collectively emphasized that beyond being innovative, AI must genuinely benefit healthcare and its stakeholders, meaning AI also aligns with intricate and context-specific healthcare practices. Our findings signal that instead of narrow product-specific AI guidance, ethical AI development may need a systemic, proactive perspective that includes the ethical considerations (objectives, actors, and context) and focuses on healthcare applications. Ethically developing AI involves a complex interplay between AI, ethics, healthcare, and multiple stakeholders.
PID Serval
serval:BIB_893A02BA9606
PMID
Open Access
Oui
Date de création
2024-04-03T07:38:01.789Z
Date de création dans IRIS
2025-05-21T02:38:38Z
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Nom
38262986_BIB_893A02BA9606.pdf
Version du manuscrit
published
Taille
1.09 MB
Format
Adobe PDF
PID Serval
serval:BIB_893A02BA9606.P001
Somme de contrôle
(MD5):0924cab1b5917875d11adf98fc45ef19