Saturday, October 31, 2026

What FDA Enforcement Actually Says About AI: Seven Warning Letters, One Direct CGMP Citation


Introduction⇒ A new analysis of 3,011 FDA Warning Letters found only seven references to AI and one direct CGMP citation, showing that FDA is applying established Quality Unit and review requirements to AI-generated GMP content.

A new systematic analysis of FDA regulatory correspondence provides a more balanced picture of artificial-intelligence enforcement than individual headlines may suggest. Researchers reviewed all 3,011 FDA Warning Letters issued between 1 January 2022 and 28 September 2026 and found only seven that referred to AI. Just one letter directly treated a company’s use of AI as a current Good Manufacturing Practice violation.

The study, published on 31 October 2026 in Discover Pharmaceutical Sciences, also examined publicly released Form FDA 483 observations and Establishment Inspection Reports containing AI-related references.

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Thursday, October 29, 2026

EU Publishes First Harmonised AI Act Standard: A New QMS Layer for High-Risk AI in Pharma


Introduction⇒ The EU has published EN 18286:2026, the first harmonised AI Act standard, giving high-risk AI providers an auditable QMS route to Article 17 conformity.

The European Union has reached an important milestone in the practical implementation of the Artificial Intelligence Act.

On 14 October 2026, the European Commission published in the Official Journal of the European Union the reference to EN 18286:2026 – Artificial Intelligence – Quality Management System for EU AI Act Regulatory Purposes.

It is the first harmonised standard formally cited in support of the EU AI Act.

The standard translates the quality-management-system requirements of Article 17 of Regulation (EU) 2024/1689 into an operational and auditable framework for providers of high-risk AI systems.

For pharmaceutical and life-sciences organisations, the most important message is not that every AI application now requires a new QMS.

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Sunday, October 25, 2026

EMA Draft ADR Data Quality Framework: AI in Pharmacovigilance Must Remain Human-Controlled and Lifecycle-Monitored


Introduction⇒ EMA's new draft Data Quality Framework for adverse drug-reaction reporting addresses AI-assisted pharmacovigilance, requiring human final decisions, model validation, performance monitoring, documentation, regular review and strong data-lifecycle controls.

The European Medicines Agency has opened a public consultation on a new draft chapter of the Data Quality Framework for EU medicines regulation.

Published on 19 October 2026, the document addresses the collection, management and submission of adverse drug-reaction reports for both human and veterinary medicines.

The consultation remains open until:

14 December 2026.

Although the document is primarily about pharmacovigilance data quality, it contains an unusually clear regulatory statement about the use of artificial intelligence in safety-data management.

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