UK launches “AI Growth Lab” call for evidence. DSIT opened submissions to inform a pro-innovation package on AI adoption and growth, inviting input from industry, academia and civil society (GOV.UK – AI Growth Lab).
Commission’s JRC: 30% of EU workers use AI. A first EU-wide survey reports significant workplace AI uptake and algorithmic-management exposure, relevant for risk assessments and labour-law compliance (JRC news).
“Digital rulebook” enforcement update. EVP Virkkunen transmitted the first annual progress report to Council/Parliament on simplifying and enforcing the EU digital acquis (context for AI Act coordination) (EU Digital Strategy note).
Regulation
UK blueprint signalling. DSIT highlighted a new blueprint frame for AI regulation oriented to growth and public trust (context for forthcoming measures) (GOV.UK news).
Documentation standardisation nudged forward. NIST’s Zero-Draft outline on AI dataset/model documentation remains the anchor reference for audit-ready artefacts; fresh commentary today urges inclusion of system-level documentation (NIST Zero Draft (PDF), Inside AI Policy – CDT comment).
Events
AU–EU High-Level Policy Dialogue: AI in Science — today (hybrid). Policy exchange on responsible AI in research systems (agenda and logistics via EURAXESS) (EURAXESS).
Academia
Quintais — Copyright, the AI Act and Extraterritoriality (SSRN, 2025). Policy brief on GPAI obligations, TDM exceptions and extraterritorial reach for training/compliance (SSRN).
Karathanasis — The AI Act: Balancing Implementation Challenges and the EU’s Simplification Agenda (SSRN, 2025). Explores friction between simplification drives and rigorous AI Act safeguards (SSRN).
Content-dependent watermarking for image attribution (MetaSeal) (arXiv, 2025). Proposes cryptographically verifiable, content-dependent watermarking to bolster provenance controls (arXiv).
Business
Procurement-driven compliance. With DSIT’s call for evidence and JRC workforce data, vendors face growing demand for explainability, logging and workforce-impact assessments in RFPs (see DSIT/JRC items).
Adoption of AI
Workforce governance reality check. JRC’s 30% figure underscores the need for DPDAs/impact assessments and algorithmic-management safeguards in HR, scheduling and productivity tools (JRC).
Documentation as “law-in-code.” NIST’s outline plus community feedback push organisations to operationalise documentation pipelines across data/model/system layers (NIST, CDT).
Takeaway
Policy this week is about inputs and evidence: governments want structured feedback (DSIT), regulators want measurable artefacts (NIST), and the EU is knitting enforcement teams together. If your AI rollout lacks verifiable documentation and workforce-impact controls, you’re behind the curve.
Sources: GOV.UK, Joint Research Centre, EU Digital Strategy, NIST, Inside AI Policy, EURAXESS