Map

where are we at the moment with AI governance

Current state of AI governance

Explain: Enforcement and compliance gaps: Even where laws exist, enforcement capacity, auditability, and technical metrics are underdeveloped. Black‑box models and cross‑border data flows complicate oversight.

Enforcement and compliance gaps in AI governance

Title: Compliance Theater — What It Is and Why It Matters

Current compliance audit processes for AI companies in the EU

Title: Why Standardized Templates and Benchmarks Matter for AI Audits

Title: Increasing Transparency for End Users and Compliance Auditors

Title: Why Clear, Concise Model Disclosures Matter

Standardized Model Disclosures — Core Template and Rationale

Title: For Clarity, Comparability, and Accountability — In Favor of Standardized Model Disclosures

Title: Against Standardized Model Disclosures — Core Template and Rationale

Title: Why Standardization Can Amplify Performative Signaling Without Strong Enforcement

Enforcement and Compliance Gaps: Why Laws Alone Won’t Ensure Safe AI

Title: Enforcement and Compliance Are Feasible — The Gaps Are Overstated

Title: How Specific AI Governance Guidelines Build Public Trust and Adoption

Title: Why Measurable Compliance Matters

Title: Will Specific AI Governance Guidelines Impede Innovation?

Title: Drive Quality Competition

Lessons from Internet Governance for AI Compliance Laws

Title: Increasing Public Usage of AI Models — Practical Steps

Title: Dangers of Lacking an AI Governance Strategy