Editorial desk
Reported changes, release context, and what is actually known.
09 · Reported analysis
The European Union’s AI transparency requirements put practical attention on disclosure, machine-readable marking, chat interfaces, deepfakes, and public-interest text. The reporting challenge is to identify which role, system, audience, and jurisdiction a rule actually covers.
7 min read
10 · Explainer
AI disclosure is moving from a caption-only problem toward structured provenance. A useful story must separate an intact credential, a trusted signer, a recorded edit history, and the independent truth of the depicted event.
8 min read
11 · Reported analysis
The Model Context Protocol’s move into an independent foundation changes the governance story around a widely adopted connector standard. The important questions involve specifications, stewardship, compatibility, security guidance, and who can influence future versions.
9 min read
12 · Checklist
Agent safety frameworks often describe useful principles: human control, privacy, security, transparency, and accountability. Coverage becomes more valuable when it asks how those principles appear in permissions, confirmation points, monitoring, incident response, and recovery.
10 min read
13 · Checklist
A retirement date is only the start of the story. Teams also need replacement behavior, endpoint parity, tool support, retention differences, evaluation results, rollout milestones, and a rollback plan.
7 min read
14 · Reported analysis
Newer provenance specifications can describe AI involvement, ingredients, edits, and other assertions in more structured ways. Newsrooms still must decide what to display, preserve, verify, and explain to readers.
8 min read