Keivan Navaie

Professor of Intelligent Networks at Lancaster University, School of Computing and Communications. Background in network systems and data engineering — applies engineering perspective to AI privacy/governance debates.

Contributions in this wiki

sources/2025-navaie-iapp-engineering-gdpr-compliance-agentic-ai — Opinion piece on engineering GDPR compliance for agentic AI systems (IAPP, 8 October 2025). Proposes four runtime controls: purpose locks, execution traces, tiered memory governance, live controller/processor mapping.

Significance

Provides the engineering complement to the legal-doctrinal analysis of entities/paul-de-hert / entities/guillermo-lazcoz — translates GDPR's accountability principle into runtime mechanisms that survive agentic AI's plan-rewriting and tool-calling behaviours. Useful for compliance and AI-platform engineering teams operationalising Art. 22 + AI Act obligations.

Topical neighbours: concepts/gdpr-article-22 · concepts/dpia · concepts/eu-ai-act · concepts/agentic-bpm · concepts/agent-process-observability.