Applicability begins with scope, not assumption.
Good AI PracticeDrug development AI
Discovery, nonclinical, clinical, manufacturing, PV, and regulatory decision-support may be relevant.
Medicinal product lifecycle
EMA/HMA framing is not the same as FDA device GMLP, though themes overlap.
Internal support AI
Applicability depends on whether outputs influence scientific, safety, quality, or regulatory decisions.
Not a single binding code
Good AI Practice is an editorial workspace for regulator principles, not one harmonised regulation.
Timing changes what can be responsibly claimed.
status gatesTrack these before publishing a checklist or readiness claim.
2021 GMLP device principles comparator · 2024 EMA AI reflection paper · 2026-01 FDA/EMA Good AI Practice principles · model context-of-use decision · validation and monitoring plan
Regulated use cases need a decision record.
life sciences lensContext of use
Use this as a trigger for Good AI Practice applicability review, not as an automatic compliance conclusion. AI evidence starts with a precise problem, intended use, and decision context.
Data relevance and quality
Use this as a trigger for Good AI Practice applicability review, not as an automatic compliance conclusion. Data provenance, representativeness, completeness, and bias need review.
Model development
Use this as a trigger for Good AI Practice applicability review, not as an automatic compliance conclusion. Development choices should be documented and linked to intended use.
Validation and performance
Use this as a trigger for Good AI Practice applicability review, not as an automatic compliance conclusion. Performance evidence must fit context, population, endpoint, and risk.
Human accountability
Use this as a trigger for Good AI Practice applicability review, not as an automatic compliance conclusion. AI systems should not erase responsibility for decisions.
Transparency
Use this as a trigger for Good AI Practice applicability review, not as an automatic compliance conclusion. Users and reviewers need understandable information about limits and use.
Current public sources for Good AI Practice.
official firstThese links are the public source anchors for this workspace. Interpretation, checklists, and future assets should point back here before being reused outside iFeed.
FDA guiding principles for Good AI Practice in drug development
2026-01-14 · FDA page for common Good AI Practice principles in drug development.
EMA and FDA common AI principles news
2026-01-14 · EU-facing publication context for the common principles.
EMA/HMA AI in medicinal product lifecycle
2024-09-30 · Broader medicinal-product lifecycle reflection layer for AI use and governance.
FDA/Health Canada/MHRA GMLP principles
2021-10-27 · Ten guiding principles for Good Machine Learning Practice for medical device development.