Bridging Science, Ethics, and Society: The Ethical Management Framework of PRAESIIDIUM

PRAESIIDIUM SPECIAL#4

The PRAESIIDIUM project brings together researchers, clinicians, engineers, and ethicists to explore
how artificial intelligence can support the early detection and management of prediabetes, while ensuring that innovation remains firmly grounded in ethical responsibility. This article presents a conversation among
three key members of the consortium, reflecting on the ethical challenges and lessons learned throughout the project.
From questions of data ownership, privacy, and trust, to the human impact of predictive models and the evolving
relationship between patients, clinicians, and intelligent systems, their dialogue offers a rich perspective on what it means to design AI that truly cares. You can find the link to the PDF here

PRAESIIDIUM Special 4- ENG

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