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Microsoft's AFT/UFT deal sets ten enforceable AI privacy principles for schools — limits on training with student data and steps teachers, IT, procurement, and vendors should take.
A practical playbook showing how schools can adopt AI responsibly: traffic-light classroom rules, a two-week pilot plan, and simple artifacts teachers can use to reduce grading confusion.
Creative programs now teach generative AI, prompting protests and new demands: students must document process and provenance, altering hiring, grading, and portfolio reviews.
Nine lessons implement a minimal agent loop—tool calls, memory, state, policy gates, self-scheduling—in about 60 lines of Python. Run in-browser via Pyodide with mock or Groq LLM.
Practical playbook based on Frontend Mentor's rollout: add AGENTS.md (and optional CLAUDE.md) to challenge starters, enforce via CI, and shape AI to tutor by difficulty.