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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

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TRUST-AI.

Remi Rothwell¹, Adam Julius¹, Robert Crichton¹

¹University College London, London, UK.

Journal of Perioperative Practice

|December 1, 2025

Summary

This summary is machine-generated.

We propose TRUST-AI, a new guide for healthcare professionals to evaluate artificial intelligence (AI) systems. This framework ensures responsible AI adoption by addressing key domains for safe and effective integration into healthcare.

Keywords:

Artificial intelligence Digital literacy Framework Guideline

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Area of Science:

Healthcare Technology
Medical Informatics
Artificial Intelligence in Medicine

Background:

Artificial intelligence (AI) offers significant potential to improve healthcare decision-making, efficiency, and patient outcomes.
Widespread adoption of AI in healthcare is hindered by persistent concerns and limitations of current reporting guidelines.
Existing guidelines struggle to adapt to the rapid evolution of novel AI technologies.

Purpose of the Study:

To introduce TRUST-AI, a high-level evaluation guide for artificial intelligence systems in healthcare.
To provide healthcare professionals with a framework for the responsible assessment of AI technologies.
To ensure the enduring relevance of AI evaluation principles amidst technological advancements.

Main Methods:

Development of a novel, high-level guide named TRUST-AI.
Distillation of seven core domains for AI evaluation: Transparency, Reliability, Use Case, Safety and Security, Treatment Equity, Affordability and Environmental Impact, and Integration.
Design of the guide by and for healthcare professionals to ensure practical applicability.

Main Results:

The TRUST-AI guide offers a structured approach to evaluating AI systems in healthcare.
It addresses critical aspects beyond technical performance, including ethical and practical considerations.
The framework is designed for adaptability to diverse and evolving AI technologies.

Conclusions:

TRUST-AI empowers healthcare professionals to act as informed gatekeepers for AI implementation.
The guide facilitates the establishment of trust in artificial intelligence within the healthcare sector.
Responsible evaluation through TRUST-AI promotes the safe and equitable integration of AI into evolving health systems.