Diffused responsibilities in technology-driven health research: The case of artificial intelligence systems in decentralized clinical trials
Year: 2025
Type: article
Abstract: Innovations such as artificial intelligence (AI) and decentralized clinical trials (DCTs) offer opportunities to enhance trial quality and efficiency. However, these innovations raise ethical questions about key responsibilities in research, such as participant safety and data quality. Using an example of an AI system determining personalized medication dosages in a DCT, we highlight how these technologies diffuse responsibilities among multiple actors and technologies. Diffusion diminishes the ability of actors to fulfill responsibilities. To address this, leading actors, such as sponsors, should prioritize overseeing responsibility attribution and implementation. This involves mapping responsibilities, identifying risks and challenges for fulfilling these responsibilities, and organizing adequate communication channels.
Authors: The Hypermarker Consortium, the Trials@Home Consortium, Medical Humanities Onderzoek Team 1, JC onderzoeksprogramma Methodology
Language: English
Topic: Ethics in Clinical Research
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7018555956
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