KENX AI in GxP East 2026
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Tag: evergreen
36 items with this tag.
Oct 15, 2026
Human-in-the-loop must be a named hard gate, not rubber-stamp oversight
evergreen
Oct 12, 2026
A golden test set must include unhappy paths
evergreen
Oct 12, 2026
A security failure that changes a validated outcome is a quality failure
evergreen
Oct 12, 2026
AI validation evidence has a shelf life
evergreen
Oct 12, 2026
Absence problems are harder to detect than presence problems
evergreen
Oct 12, 2026
An AI system in GxP must be able to answer unable to verify
evergreen
Oct 12, 2026
Assuming humans will follow SOPs is hope, not control
evergreen
Oct 12, 2026
Assurance must scale with autonomy
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Oct 12, 2026
Bounded inputs make AI validation tractable
evergreen
Oct 12, 2026
Centralize evaluation when every AI pairing carries its own KPIs
evergreen
Oct 12, 2026
Compliance controls belong in the product from inception
evergreen
Oct 12, 2026
Grounding an LLM in the regulatory corpus yields defensible, novel acceptance criteria
evergreen
Oct 12, 2026
GxP documentation builds institutional trust on behalf of patients
evergreen
Oct 12, 2026
In GxP markets, the MVP is the customer's intended use
evergreen
Oct 12, 2026
In the GxP control loop, AI acts, humans decide, and the system remembers
evergreen
Oct 12, 2026
Local models trade capability for control
evergreen
Oct 12, 2026
Never guess in an inspection; say you will double check
evergreen
Oct 12, 2026
Observability and evaluation answer different questions about an AI system
evergreen
Oct 12, 2026
One governed dataset should serve many consumers
evergreen
Oct 12, 2026
Regulators are becoming AI users themselves
evergreen
Oct 12, 2026
The wording of an intended use statement sets the regulatory burden
evergreen
Oct 12, 2026
Tool-driven risk assessment beats debate because owners dilute their own ratings
evergreen
Oct 12, 2026
Validate what you can, verify the rest
evergreen
Sep 24, 2026
Regulators audit against principles, so size quality rigor to risk
evergreen
Sep 16, 2026
AI development needs its own SOPs, separate from the software development lifecycle
evergreen
Sep 16, 2026
Companies own the accuracy of AI-drafted submissions regardless of the drafting tool
evergreen
Sep 16, 2026
Human verification of AI output must be explicit because document creation no longer carries implicit verification
evergreen
Sep 15, 2026
AI pilots in GxP fail on sequencing, not technology
evergreen
Sep 15, 2026
An LLM judge is a GxP system and needs its own qualification pack
evergreen
Sep 15, 2026
Autonomous agents need their own auditable identities in regulated systems
evergreen
Sep 15, 2026
GxP systems are optimized to be inspection-ready, not insight-ready
evergreen
Sep 15, 2026
Human error, not AI failure, drives GxP warning letters
evergreen
Sep 15, 2026
Regulatory inspections verify execution against SOPs, not the existence of documents
evergreen
Sep 15, 2026
The intended use statement is the master control lever for GxP AI
evergreen
Sep 15, 2026
Validating an AI system in a regulated industry means validating a measurement system
evergreen
Sep 15, 2026
Validation is data, not an event
evergreen