AI Material Review── How to build AI into material review, and where people keep the reins — in 10 parts
Material review is the work of checking promotional materials against the rules and having deviations fixed. Now generative AI is entering that work. AI makes materials fast and in bulk, surfaces the seeds of deviation by machine, and puts review criteria into words to reduce person-dependence. But a person still decides, at the end, whether it reaches clinicians and patients without misunderstanding. This series covers how to build AI into material review — and where people keep the reins — in 10 parts, grounded in the Pharmaceutical Act and the promotion guidelines.
Basics
01
AI and Material Review — What's Happening Now
AI is entering the review floor. What changes, what stays the same. The opening map of this 10-part series.
Basics02
How to Review AI-Generated Materials
Reviewing bulk AI-made materials safely without losing speed. A human-in-the-loop design.
Basics03
Detecting Deviations with AI
Catching the seeds of deviation — exaggeration, off-label claims, thin evidence — by machine, to support human judgment.
BasicsPractice
04
Giving AI the Rules — Guardrail Design
Building the Pharmaceutical Act (exaggeration 66 / unapproved 68 / info 68-2) and the promotion guidelines into AI as guardrails.
Practice05
Standardizing Review with AI
Putting review criteria into words with AI to reduce person-dependence — a shared yardstick.
Practice06
The Power and Limits of AI Review Tools
What review-support tools can and cannot do — the right distance between over-trust and dismissal.
Practice07
Review Records and Audit Trails with AI
Keeping review records, audit trails, and CAPA with AI — a traceable, reproducible review.
PracticeSystem & Future
08
Reviewers' AI Literacy
The skill of the user: the limits reviewers must know, and the habit of not taking AI at face value.
System09
Review Governance in the AI Era
How to design a review system with AI built in — where responsibility sits, and governance that holds.
System10
The Future of AI Material Review
How review changes over 5–10 years — dividing roles between people and AI, and the principles to keep.
System— Each episode will be published on this page once it has passed verification —
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