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From Trustworthy AI Principles to Verifiable System Requirements: A Multi-Stakeholder Engineering Framework for Clinical Decision Support Systems

2026-08-26

Abstract excerpt

<title>Abstract</title> <p> <bold>Objective</bold> : A persistent gap separates the trustworthy AI principles articulated by consensus guidelines and regulatory instruments from the deterministic, verifiable specifications required to develop clinical decision-support systems. While frameworks such as FUTURE-AI operationalize trustworthiness through detailed sub-principles and lifecycle recommendations, the tra...

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Literature Corpus work
7c498bb6-aab6-52e9-a2a7-2d6472a2e494
DOI
10.21203/rs.3.rs-10802694/v1
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From Trustworthy AI Principles to Verifiable System Requirements: A Multi-Stakeholder Engineering Framework for Clinical Decision Support SystemsDOI 10.21203/rs.3.rs-10802694/v1
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