FUTURE-AI: Best practices for trustworthy AI in medicine

FUTURE-AI is an international, multi-stakeholder initiative for defining and maintaining concrete guidelines that will facilitate the design, development, validation and deployment of trustworthy AI solutions in medicine and healthcare based on six guiding principles: Fairness, Universality, Traceability, Usability, Robustness and Explainability.

1

Fairness

The first principle of the FUTURE-AI guidelines is the one of Fairness, which states that medical AI algorithms should maintain...

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2

Universality

While a certain degree of diversity in the design and implementation of AI solutions in medicine is both expected and desirable...

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3

Traceability

The traceability principle states that medical AI algorithms should be developed together with mechanisms for documenting and m...

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4

Usability

The Usability principle states that the medical AI solutions should be usable, acceptable and deployable for the end-users in r...

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5

Robustness

The Robustness principle refers to the ability of a medical AI model to maintain its performance and accuracy when it is applie...

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6

Explainability

The sixth and final principle of the FUTURE-AI guidelines is the one of Explainability, which states that medical AI algorithms...

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Future AI

Is your medical AI technology FUTURE-AI ready?

The FUTURE-AI assessment checklist consists of concrete and actionable questions that will guide developers, evaluators and other stakeholders in delivering medical AI tools that are trustworthy and optimised for real-world practice.

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