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Transparency Metrics for Artificial Intelligence-Driven Applications in Healthcare
1
Zitationen
5
Autoren
2024
Jahr
Abstract
The digitalisation of medicine through artificial intelligence (AI)-based tools promises to revolutionise patient management by supporting big data analysis and decision-making capabilities. Central to these advancements is the overarching requirement of aligning the design and development of AI with established values and principles of AI and biomedical ethics. Motivated by an ongoing H2020 research project that aims to develop explainable and verifiable analytic AI models for personalised clinical management of heart failure (HF) patients, this work focuses on investigating and proposing assessment metrics aimed at evaluating the AI system's adherence to the requirement of transparency, in line with the European Commission's High-Level Expert Group (HLEG) Ethics Guidelines for Trustworthy Artificial Intelligence and its respective Assessment List for Trustworthy Artificial Intelligence (ALTAI). Our study combines existing metrics and proposes new ones to assess transparency in healthcare AI applications, offering insights transferable to other domains.
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