Practical guidance for developing, evaluating, procuring, and deploying AI-enabled technologies for older adults and their care teams.

AI can help older adults live healthier, safer, and more independent lives. To realize this potential, AI-enabled AgeTech systems must be appropriate for the intended population, safe, usable, equitable, transparent, and reliable from development through real-world deployment.

The AgeTech AI Assurance Journey

Featured Resources

GUIDE
AgeTech AI Developer & Vendor Readiness Guide

A practical, evidence-based guide for procurement, pilot, deployment, and ongoing assurance.

CHECKLIST
AI Developer & Vendor Readiness Checklist

A practical, evidence-based checklist to help AI developers and vendors demonstrate readiness.

FUTURE RESOURCE
Check back in the future for additional resources

Coming Soon…

Additional Learning Resources

Relevant Webinars

3 Videos

Recommended Reading

AgeTech Assurance

Understanding the Policy Space for AgeTech: Implications for AI and Digital Health

Authors: David R. Paquette, Lucy Orr-Ewing, Brian Anderson, Benjamin M. Marlin, Niteesh K. Choudhry, Deepak Ganesan

Published in: Public Policy & Aging Report, a journal of the Gerontological Society of America (Nov. 2024)

Advancing Fair & Effective AI for Older Adults

Authors: Coalition for Health AI (CHAI) in Partnership with the SCAN Foundation

Published:  (Sep. 2025)

More recommended readings coming in the future

Coming Soon…

External Resources

Coalition for Health AI (CHAI)

A collaborative, public-private nonprofit network dedicated to advancing the responsible development, deployment, and oversight of AI in healthcare. 

NIST AI Risk Management Framework 

NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence. 

FDA’s AI-Enabled Medical Devices Resources

The characteristics of AI-enabled medical devices can introduce considerations that extend across the total product lifecycle, from development and validation through deployment, monitoring, maintenance, and modification.