The Assurance Standards Guide serves as a playbook for the development and deployment of AI in healthcare,
providing actionable guidance on ethics and quality assurance.

It stems from the consensus-based approach of the CHAI community, drawing upon the collaborative work of patient advocates, technology developers, clinicians, data scientists, civil servants, bioethicists, and others. The Guide is written for an equally broad audience, encompassing everyone with rights and responsibilities in the process of designing, developing, deploying, and using AI technologies.
The Assurance Reporting Checklist (ARC) is intended to guide the development and evaluation of a complete AI solution and system against CHAI standards for trustworthy AI. This tool is intended first for self-reporting and self-review, as well as a tool for self-reporting for independent review.
The goal of the ARC is to ensure that AI solutions and systems fulfill all five key, principle-based areas for trustworthy AI: 1. Usefulness, Usability, and Efficacy; 2. Fairness, Equity, and Bias Management; 3. Safety; 4. Transparency and Intelligibility; 5. Privacy and Security.
In alignment with these areas, the ARC translates best practice considerations (detailed in the Assurance Standards guide) that meet core ethical and quality principles into detailed yes/no questions, or evaluation criteria, to determine whether best practice standards are met (see accompanying Assurance Standards Guide).

Public Feedback Form

Please submit any feedback you have on the assurance standards guide or ARC. We would love to know if they work for your organization and if you have any changes you would make.

At the end of the 60 day public comment period, we will revise the document and re-release it taking feedback into consideration.

Comments due on September 6th, 2024.

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