From Black Box to Dashboard: How We Built a Transparent Interface for Healthcare AI

Author(s): Marie Humbert-Droz, PhD

Originally published on Towards AI.

Real-Time Trust Signals for Healthcare LLMs — Part 4 of the Building Trustworthy Healthcare LLM Systems Series

A system that knows when it’s wrong is a step forward. A system that shows you where it’s wrong and why, is what takes it from automation to augmentation.

This article discusses the completion of a trustworthy healthcare AI system by emphasizing the importance of transparency and the ability for users to understand and trust the AI’s reasoning. It details the integration of external validation through fact-checking against authoritative sources and outlines the development of a user-friendly interface that makes the AI’s confidence metrics visible. The approach aims to shift user reliance from blind trust to measurable trust by showcasing the underlying reasoning and evidence behind the AI’s outputs.

Read the full blog for free on Medium.

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Published via Towards AI