Law / Frameworks / MIT mitigations / Technical & Security Controls
MIT mitigations 2.4Content Safety Controls
Technical systems and processes that detect, filter, and label AI-generated content to identify misuse and enable content provenance tracking.MIT AI Risk Mitigation Taxonomy, preliminary taxonomy, July 2025, 2.4
We read each law below as bearing on this control. That does not mean the control, done well, meets the law: what each law asks is on its own page. Corpus as of .
The kinds of duty that reach it: content labelling, design code.
- 36
- laws
- 28
- places
- 1
- with court rulings behind it
- 8
- not yet in force
- 1
- blocked by a court
- 3
- proposed, not law
The same ground elsewhere linked through the kinds of duty both controls are mapped from
- NIST AI RMFGOVERN 4.2 Organizational teams document the risks and potential impacts of the AI technology...
- NIST AI RMFMAP 1.6 System requirements (e.g., “the system shall respect the privacy of its users”) are...
- NIST AI 600-1GAI-RISK-07 Human-AI Configuration
- NIST AI 600-1GAI-RISK-03 Dangerous, Violent, or Hateful Content
- OWASP Agentic Top 10ASI09 Human-Agent Trust Exploitation
- NIST Privacy FrameworkID.RA-P1 Contextual factors related to the systems/products/services and the data actions are...
- NIST Privacy FrameworkGV.PO-P2 Processes to instill organizational privacy values within system/product/service...
A law in force is unmarked; the rest wear their state: not yet in force blocked by a court proposed
AI transparency
35 laws, 27 placesShow the other 25 laws
AI governance
1 law, 1 place| Place | Law | How it reaches this control |
|---|---|---|
| Guidelines on Artificial Intelligence of Vatican City State (Decree No. DCCII) |
Through its content labelling duty. What it requires |
Full text of the MIT AI Risk Mitigation Taxonomy, CC BY 4.0. MIT AI Risk Initiative (MIT FutureTech), AI Risk Mitigation Taxonomy, https://airisk.mit.edu/ai-risk-mitigations. Data from the MIT AI Risk Initiative is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Cite as: Mapping AI Risk Mitigations: Evidence Scan & Draft Mitigation Taxonomy, https://airisk.mit.edu/blog/mapping-ai-risk-mitigations Every control of the framework.