Artificial intelligence (AI) is rapidly transforming healthcare, offering the potential for improved diagnostics, personalized treatments, and more efficient healthcare delivery. However, the use of AI in healthcare also raises important ethical and practical considerations. To address these challenges, the Coalition for Health AI (CHAITM) was formed. CHAI is a collaborative initiative dedicated to fostering the responsible and equitable use of AI in healthcare.
CHAI is a diverse group of stakeholders, including healthcare providers, AI developers, researchers, and policymakers, working together to develop best practices, frameworks, and guidelines for the safe and equitable implementation of AI in healthcare. The coalition aims to ensure that AI benefits all members of society by addressing potential algorithmic biases and promoting transparency and accountability.
CHAI focuses on several key objectives to drive the responsible use of AI in healthcare:
CHAI has launched several important initiatives and frameworks to support its mission:
This framework provides considerations for ensuring standards are met in the deployment of AI in healthcare. It was created through a consensus-based approach, leveraging the expertise of diverse stakeholders across the healthcare ecosystem.
These companion documents provide criteria to evaluate standards across the AI lifecycle, from identifying a use case and developing a product to deployment and monitoring. The Assurance Standards Guide and Assurance Reporting Checklists help ensure AI systems are thoroughly evaluated at each stage.
CHAI is working on applied model cards, which are standardized documents that provide detailed information about an AI model's development, intended use, performance, and limitations.
The coalition provided a Blueprint for Trustworthy AI that outlines key principles and practices for building and deploying AI systems that are reliable, secure, and ethical.
CHAI emphasizes the importance of thorough AI model evaluation, assigning responsibilities to both developers and end-users:
Developer's Responsibility: To evaluate the AI model thoroughly before deployment to ensure it meets safety and performance standards.
End-User's Responsibility: To conduct local evaluations to ensure the AI tool fits the specific needs and conditions of the health system.
End-User's Monitoring Responsibility: To monitor AI tool performance over time, ensuring it remains effective and adapting to any changes in conditions.
One of CHAI's primary goals is to address algorithmic bias and promote health equity. AI models can perpetuate and amplify existing biases in healthcare data, leading to disparities in treatment and outcomes. CHAI is committed to developing strategies and tools to identify and mitigate these biases.
Individuals and organizations interested in contributing to the responsible development and deployment of AI in healthcare can get involved with CHAI through various avenues:
The Coalition for Health AI is playing a crucial role in shaping the future of AI in healthcare. By bringing together diverse stakeholders and fostering collaboration, CHAI is helping to ensure that AI is used in a way that benefits all members of society. As AI continues to evolve, CHAI's work will be essential for promoting trust, transparency, and accountability in the use of AI in healthcare.
