Council of Europe Convention Art. 16(2)(g): testing before first use and on significant modification
Test systems before first use and when they are significantly modified, where appropriate
AIGE-OBL-COE-ART16-2G. Drawn from chapter 08.
Text alternative
- Clause: CoE Convention, Art. 16.
- Duty holder: Parties.
- Applies from: No date, Draft or proposed.
- Artefact: Eval gate on release….
- Layer: Layer 03 Evals & Red Teaming as Evidence.
- Evidence record: Evidence record v1.
- Record schema: Evidence record.
- The same topic in 19 other frameworks; the crosswalk section below links each clause.
- Id
AIGE-OBL-COE-ART16-2G- Instrument
- Council of Europe Framework Convention on AI (CETS No. 225) law
- Clause
- Art. 16(2)(g)
- In scope
- Parties (states and the EU); private actors through national measures
- Applies from
- No date Draft or proposed · Not in force as of 2026-09-24; binds Parties once in force, and the EU implements it through the AI Act
The artefact that evidences it
Eval gate on release and on material change.
Data table: every relation
| Family | Item | Relation |
|---|---|---|
| Same crosswalk topic | AI Verify 4.1.1, 6.1.1, 5.2.1, 5.9.1, 9.4.1, 5.14.1, 6.5.1, 4.6.1 | Core clause |
| Same crosswalk topic | CSA AICM MDS-06, MDS-07, AIS-05, AIS-06, CCC-01, DSP-02 | Core clause |
| Same crosswalk topic | China Deep Synthesis DeepSyn Art. 15, DeepSyn Art. 20 | Core clause |
| Same crosswalk topic | EU AI Act Art. 15, Art. 55, Art. 60, Art. 15(3), Art. 9, Art. 42(3), Art. 26, Art. 25, Art. 43(4), Art. 20, Art. 79, Art. 86 | Core clause |
| Same crosswalk topic | G7 Code G7 Action 1 | Core clause |
| Same crosswalk topic | GAO AI Accountability 3.7, 3.2, 4.4, 4.5 | Core clause |
| Same crosswalk topic | GB/T 45654 GB/T 45654 Security assessment | Core clause |
| Same crosswalk topic | GPAI Code Safety 3.2, Safety C6 | Core clause |
| Same crosswalk topic | ISO 42001 A.6, 9.1, A.6.2.5, A.6.2.6, A.9 | Core clause |
| Same crosswalk topic | NIST AI RMF MEASURE 2, MEASURE 2.7, MEASURE 2.1, MEASURE 1, MANAGE 2.4, MANAGE 4.1, GOVERN 1.7 | Core clause |
| Same crosswalk topic | OECD AI Principles OECD 1.4 | Core clause |
| Same crosswalk topic | Singapore Agentic Agentic 2.3.2, Agentic 2.3.3 | Core clause |
| Same crosswalk topic | Singapore GenAI GenAI 5, GenAI 6 | Core clause |
| Same crosswalk topic | TC260 Framework 3.0 TC260 3, TC260 App. 2 II.6, TC260 5.3.14, TC260 5.3, TC260 5.3.19 | Core clause |
| Same crosswalk topic | China GenAI Measures GenAI Art. 17 | Related clause |
| Same crosswalk topic | GDPR Art. 32 | Related clause |
| Same crosswalk topic | Korea AI Act Art. 32(1) | Related clause |
| Same crosswalk topic | OWASP Agentic ASI05 | Related clause |
| Same crosswalk topic | OWASP LLM LLM01:2026 | Related clause |
Patterns that build it
No pattern in the catalogue names this clause on its "Maps to" line yet; the artefact above is the engineering answer.
The same topic in other frameworks
From the topic crosswalk: the clauses filed under the same topics as this one. Mappings are illustrative, not a claim of conformity.
Robustness, security and evaluations
- EU AI Act Art. 15 Accuracy, robustness and cybersecurity (core)
- EU AI Act Art. 55 Obligations for providers of general-purpose AI models with systemic risk (core)
- ISO 42001 A.6 AI system life cycle (core)
- NIST AI RMF MEASURE 2 MEASURE 2: AI systems are evaluated for trustworthy characteristics (core)
- TC260 Framework 3.0 TC260 3 Technological countermeasures (core)
- TC260 Framework 3.0 TC260 App. 2 II.6 Sandbox validation and red teaming (core)
- China Deep Synthesis DeepSyn Art. 15 Technology management and algorithm verification (core)
- China Deep Synthesis DeepSyn Art. 20 Security assessment of new products (core)
- GB/T 45654 GB/T 45654 Security assessment Security-assessment requirements for generative AI services (core) (clause not verified)
- GPAI Code Safety 3.2 Measure 3.2: Model evaluations (core)
- NIST AI RMF MEASURE 2.7 MEASURE 2.7: AI system security and resilience as identified in the MAP function are evaluated and documented (core)
- CSA AICM MDS-06 Adversarial Attack Analysis (core)
- CSA AICM MDS-07 Robustness against Adversarial Attack / Model Hardening (core)
- Singapore GenAI GenAI 5 Testing and Assurance (core)
- Singapore GenAI GenAI 6 Security (core)
- Singapore Agentic Agentic 2.3.2 Before deploying, test agents (core)
- OECD AI Principles OECD 1.4 Robustness, security and safety (core)
- G7 Code G7 Action 1 Identify, evaluate and mitigate risks across the lifecycle, including testing (core)
- GAO AI Accountability 3.7 Assessment: assess performance against defined metrics to ensure the AI system functions as intended and is sufficiently robust (core)
- AI Verify 4.1.1 Safety (technical test): run use-case benchmarks and red-teaming to evaluate for safety and possible harms (e.g. hallucination, toxicity) (core)
- AI Verify 6.1.1 Robustness (technical test): compare accuracy with and without added noise to document and monitor performance (core)
- AI Verify 5.2.1 Security: conduct security risk assessments that model threats and risks to the AI system (core)
- EU AI Act Art. 60 Testing of high-risk AI systems in real-world conditions outside AI regulatory sandboxes
- ISO 42001 9.1 Monitoring, measurement, analysis and evaluation
- TC260 Framework 3.0 TC260 5.3.14 Resilience
- China GenAI Measures GenAI Art. 17 Security assessment
- EU AI Act Art. 15(3) Declared accuracy levels and metrics
- EU AI Act Art. 9 Risk management system
- EU AI Act Art. 42(3) Presumption of conformity for cybersecurity (Cyber Resilience Act)
- GPAI Code Safety C6 Commitment 6: Security mitigations
- GDPR Art. 32 Security of processing
- NIST AI RMF MEASURE 2.1 MEASURE 2.1: Test sets, metrics, and details about the tools used during TEVV are documented
- NIST AI RMF MEASURE 1 MEASURE 1: Appropriate methods and metrics are identified and applied
- CSA AICM AIS-05 Application Security Testing
- OWASP LLM LLM01:2026 Prompt Injection
- OWASP Agentic ASI05 Unexpected Code Execution (RCE)
- Korea AI Act Art. 32(1) Safety duties for AI above the compute threshold
- GAO AI Accountability 3.2 Metrics: define performance metrics that are precise, consistent, and reproducible
- AI Verify 5.9.1 Security: release AI systems only after appropriate and effective security checks and evaluation
Deployment, change and decommissioning
- EU AI Act Art. 26 Obligations of deployers of high-risk AI systems (core)
- ISO 42001 A.6.2.5 AI system deployment (core) (clause not verified)
- ISO 42001 A.6.2.6 AI system operation and monitoring (core) (clause not verified)
- NIST AI RMF MANAGE 2.4 MANAGE 2.4: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use (core)
- NIST AI RMF MANAGE 4.1 MANAGE 4.1: Post-deployment AI system monitoring plans are implemented, including mechanisms for capturing and evaluating input from users and other relevant AI actors, appeal and override, decommissioning, incident response, recovery, and change management (core)
- NIST AI RMF GOVERN 1.7 GOVERN 1.7: Processes and procedures are in place for decommissioning and phasing out AI systems safely and in a manner that does not increase risks or decrease the organization's trustworthiness (core)
- CSA AICM AIS-06 Secure Application Deployment (core)
- AI Verify 9.4.1 Accountability: a policy to deactivate, decommission and phase out AI systems safely (core)
- AI Verify 5.14.1 Security: proper and secure disposal of data and models (core)
- AI Verify 6.5.1 Robustness: review changes in code, input data and output data to decide when a new robustness review is due (core)
- EU AI Act Art. 25 Responsibilities along the AI value chain
- EU AI Act Art. 43(4) New conformity assessment on substantial modification
- EU AI Act Art. 20 Corrective actions and duty of information
- EU AI Act Art. 79 Procedure at national level for dealing with AI systems presenting a risk
- EU AI Act Art. 86 Right to explanation of individual decision-making
- ISO 42001 A.9 Use of AI systems
- CSA AICM CCC-01 Change Management Policy and Procedures
- CSA AICM DSP-02 Secure Disposal
- Singapore Agentic Agentic 2.3.3 When deploying, continuously monitor and test
- OECD AI Principles OECD 1.4 Robustness, security and safety
- TC260 Framework 3.0 TC260 5.3 Operators' safety guidelines
- TC260 Framework 3.0 TC260 5.3.19 Re-assessment on material change
- GAO AI Accountability 4.4 Ongoing assessment: assess the utility of the AI system to ensure its relevance to the current context
- GAO AI Accountability 4.5 Scaling: identify conditions, if any, under which the AI system may be scaled or expanded beyond its current use
- AI Verify 4.6.1 Safety: deployment strategies such as blue-green and canary deployments
Source
Chapter 08, section Treaty and international soft law, checked against its sources on the review date above.
Machine-readable
- This obligation:
/api/v1/obligations/aige-obl-coe-art16-2g.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). Council of Europe Convention Art. 16(2)(g): testing before first use and on significant modification (AIGE-OBL-COE-ART16-2G). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-coe-art16-2g. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{Council of Europe Convention Art. 16(2)(g): testing before first use and on significant modification (AIGE-OBL-COE-ART16-2G)}},
howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
year = {2026},
version = {0.5.0},
doi = {10.5281/zenodo.22956197},
url = {https://aigovernanceengineer.com/obligations/aige-obl-coe-art16-2g},
note = {Version 0.5.0}
}