Publications

Industry and Partner Publications 

AI Assurance: A Repeatable Process for Assuring AI-enabled Systems (MITRE) 
Framework to ensure the trustworthiness of AI systems across various sectors. Emphasis on creating a systematic, repeatable approach to validating a system's safety, security, and effectiveness, addressing concerns in fairness, transparency, and accountability throughout it's lifecycle. 

Assurance Standards Guide and Reporting Checklist (CHAI)
Comprehensive standards for the evaluation of AI systems in healthcare, focusing on building trust, ensuring equity, and promoting high-quality outcomes. Actionale recommendations for the continuous assessment of systems covering aspects including transparency, saefety, and ethical considerations. 

Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare (CHAI)
Guidelines to ensure trustworthiness, equity, and quality in health AI systems. Emphasis on the need for transparency, accountability, and inclusivity in system development, while offering a framework for assessment of performance, safety, and fairness in clinical settings. 

Health AI Assurance Lab Publications

Coming soon.