How would GDPR requirements influence experiment tracking and model management design?
WHAT IT TESTS: designing for compliance as a systems constraint, not an afterthought. ANSWER OUTLINE: immutable data lineage, user exclusion lists, audit logs, versioned explainability. RED FLAG: manual deletion without model unlearning or provenance.
WHAT IT TESTS: embedding regulatory constraints into system architecture, not just reporting. ANSWER OUTLINE: first, immutable lineage linking models to exact dataset versions and code commits; second, data isolation so user deletion requests map to specific training runs; third, retraining pipelines that exclude specific records; fourth, versioned explainability artifacts and access-controlled audit trails. RED FLAG: stopping at dashboards or deleting database rows without addressing model provenance, unlearning, or artifact immutability.
Read the original → nist.gov
- #gdpr
- #mlops
- #lineage
- #model-governance
- #compliance
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