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  4. The Health AI Landscape in Lima, Peru: Ethical, Legal, and Technical Considerations for Trustworthy Implementation of AI Tools for Chronic Respiratory Conditions
Project Investigators
Jodyn Platt, PhD, MPH
Associate Professor
Learning Health Sciences
Gloria Carmona Clavijo, PhD, MPH
Research Area Specialist Senior
Learning Health Sciences

Sharon Kardia, PhD
Millicent W. Higgins Collegiate Professor of Epidemiology, 
School of Public Health, University of Michigan 

W. Nicholson Price, JD, PhD
Professor, Law School, 
University of Michigan

Nora Reyes Puma
Professor, 
Universidad Nacional Mayor de San Marcos, Lima, Peru

Collaborating Organizations
Universidad Nacional Mayor de San Marcos

The Health AI Landscape in Lima, Peru: Ethical, Legal, and Technical Considerations for Trustworthy Implementation of AI Tools for Chronic Respiratory Conditions

Start Date: 
January 2026
End Date: 
January 2027

This project maps the landscape for trustworthy artificial intelligence in health care in Lima, Peru, focusing on tools for chronic respiratory conditions such as tuberculosis. Peru's health system is fragmented across public, social security and private sectors, and AI tools are being developed and introduced without a shared framework for evaluating whether they are safe, equitable and appropriate for local settings. Partnering with the Universidad Nacional Mayor de San Marcos, the team brings together expertise in learning health sciences, epidemiology, and law and AI policy to build an equity-centered framework for evaluating AI tools across their lifecycle, and to identify the facilitators and barriers that connect research, clinical and public health information systems. The work establishes a durable global partnership and lays the groundwork to guide responsible AI development for a pressing health challenge in Peru.

Themes
Data Science
Data Science Artificial Intelligence
Social Determinants of Health and Health Disparities
Technical Solutions
Locations
Peru
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