Executive Summary
This book presents a framework for using generative AI as an assistant in policy and health analytics.
1.7 Core principle
Generative AI assists; analysts decide.
AI may support inquiry, drafting, synthesis, organization, and exploratory analysis, but responsibility for evidence, reasoning, interpretation, and conclusions remains human.
The book develops a governance-aware approach to AI-assisted analytical work that emphasizes:
- evidence traceability,
- disciplined review,
- explicit uncertainty,
- accountable authorship,
- and preservation of human judgment.
Rather than treating generative AI as a source of authority or automated decision-making, the book positions these systems as tools that may assist analytical workflows while remaining subject to human review, methodological scrutiny, and institutional accountability.