🧠 AI Ed Wiki

AI regulation — the laws, policies, and governance frameworks that control how AI is developed and deployed in educational settings. Regulation in the wiki spans government policy, institutional governance, and industry self-regulation.

Regulatory landscape

  • Government policy: Educational Policy AI research examines national and regional AI education policies. State-level teacher AI policy and lifelong learning policy address regulatory gaps.
  • Institutional governance: AI governance frameworks and institutional policy analysis document how universities develop internal AI rules.
  • Safety regulation: Pedagogical Safety, child safety, and K-12 safety frameworks represent de facto regulation through safety requirements.
  • Ethics as regulation: Ethics frameworks increasingly serve regulatory functions — public discourse on AI ethics shapes policy expectations.
  • The governance gap

    The wiki documents a persistent gap between AI deployment speed and regulatory maturity. Institutional change frameworks and Regulation research argue for proactive governance rather than reactive policy.

    Connections

    Regulation connects to Educational Policy AI, AI Governance Education, Ethics, Privacy, Pedagogical Safety, and Academic Integrity. It is the institutional layer that shapes how all other AI education practices operate.

    Connected Concepts

  • Educational Policy AI
  • AI Governance Education
  • Ethics
  • Privacy
  • Pedagogical Safety
  • Academic Integrity
  • Equity
  • Higher Ed
  • K 12
  • Connected Articles

  • Institutional Change Framework AI
  • GenAI Policies Higher Ed Computing
  • State Policy Teacher AI
  • AI Lifelong Learning Policy
  • AI Ethics Education Public Discourse