Artificial Intelligence Implementation Toolkit
June 2026
The Encoding Equity Alliance Artificial Intelligence Implementation Toolkit seeks to advance the development and deployment of healthcare artificial intelligence systems that improve health outcomes and are scientifically rigorous, ethically grounded, and equitably aligned by eliminating the inappropriate use of race as a proxy variable. It aims to replace race-based modeling with approaches that more accurately reflect the biological, environmental, and structural determinants of health, thereby improving clinical decision-making, reducing disparities, and strengthening trust among patients, providers, and institutions. Through transparency, accountability, and multidisciplinary collaboration, the document aspires to set a standard for responsible innovation that serves both individual patients and the broader public good.
This toolkit is not intended to replace regulatory requirements, institutional review processes, or clinical judgment. Rather, it functions as an operational governance resource that translates ethical commitments to equity, accountability, and transparency into concrete practices that can be embedded within existing AI development, and oversight workflows. Its purpose is to support more rigorous questioning, stronger safeguards, and clearer decision-making, rather than to prescribe specific technical solutions.
How to use this toolkit:
- As an educational resource for clinicians, trainees, and researchers
- As a quality improvement tool during model development and validation
- As an evaluation and procurement guide for health systems
- As a governance framework for oversight committees
