Law / Frameworks / NIST AI 200-2 Draft / The TEVV-Athlon Framework
NIST AI 200-2 2.4Synthesize & Interrogate
Finally, evaluators will analyze the collected data to synthesize information from the TEVV-Athlon and generate relevant insights for the organization. The synthesis of results determines how the information gathered through the evaluation influences organizational decisions regarding the assessed AI system.NIST TEVV-Athlon Framework for Evaluating AI Systems, initial public draft, August 2026 (NIST AI 200-2 ipd), 2.4
We read each law below as bearing on this step. That does not mean the step, done well, meets the law: what each law asks is on its own page. Law library as of .
The kinds of duty that reach it: DPIA.
- 13
- laws
- 11
- jurisdictions
- 0
- with court rulings behind them
- 2
- not yet in force
- 5
- proposed, not law
Related controls in other frameworks the same duties, in at least two laws we track, reach both
- NIST AI RMFMAP 5.1 Likelihood and magnitude of each identified impact (both potentially..., 9 laws
- NIST AI RMFMANAGE 1.3 Responses to the AI risks deemed high priority, as identified by the MAP..., 5 laws
- NIST AI RMFMEASURE 2.10 Privacy risk of the AI system – as identified in the MAP function – is..., 4 laws
- NIST AI 600-1GAI-RISK-04 Data Privacy, 13 laws
- MIT mitigations1.2 Risk Management, 13 laws
- MIT mitigations1.7 Societal Impact Assessment, 13 laws
- MIT mitigations3.1 Testing & Auditing, 13 laws
- FINOS AIGFAIR-PREV-005 System Acceptance Testing, 13 laws
- ETSI EN 304 2235.1.2-1 Business need and security risks written down and assessed before deciding..., 13 laws
- ETSI EN 304 2235.1.3-1 Threat modelling and risk management, reviewed regularly and covering..., 13 laws
A law in force is unmarked; the rest wear their state: not yet in force proposed
AI governance
7 laws, 7 jurisdictionsAI risk obligations
3 laws, 3 jurisdictions| Jurisdiction | Law | How it reaches this step |
|---|---|---|
| AI Act, Article 27 (fundamental rights impact assessment) from , in 13 months |
Through its DPIA duty. What it requires |
|
| Decreto Legislativo 160/2026, After-the-Fact Facial Recognition Integrated in Video Surveillance (Art. 10) |
Through its DPIA duty. What it requires |
|
| Digital Code, Chapter 23: AI system design and risk-management obligations |
Through its DPIA duty. What it requires |
AI prohibited practices
1 law, 1 jurisdiction| Jurisdiction | Law | How it reaches this step |
|---|---|---|
| Decreto Legislativo 160/2026, Police Biometric AI: Dataset Labelling and Real-Time Remote Identification (Artt. 7-9, 13) |
Through its DPIA duty. What it requires |
AI sector rules
1 law, 1 jurisdiction| Jurisdiction | Law | How it reaches this step |
|---|---|---|
| FSC Fintech Series Guidance Notes 4, responsible use of artificial intelligence in financial services |
Through its DPIA duty. What it requires |
AI training data
1 law, 1 jurisdiction| Jurisdiction | Law | How it reaches this step |
|---|---|---|
| Act XLVII of 1997 on Health Data, Section 35/A(4) to (8), Conditions for AI Development on Electronic Health Service Space Data |
Through its DPIA duty. What it requires |
Excerpts of the NIST TEVV-Athlon Framework for Evaluating AI Systems, public domain (a US government work). Every step of the framework.