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Methodology

Conformity Assessment

Conformity assessment is the formal process of demonstrating that a high-risk AI system meets the requirements of the EU AI Act before being placed on the market or put into service.

What is Conformity Assessment?

Conformity assessment for high-risk AI involves technical documentation (Annex IV), risk management, data and data governance evidence, testing records, human-oversight design, accuracy and robustness measurement, cybersecurity controls, and a quality management system. Most high-risk systems can self-assess; some require notified body involvement. The output is a CE marking and an EU declaration of conformity.

How does Conformity Assessment apply to enterprise AI?

Enterprises building or procuring high-risk AI need a conformity assessment plan from day one. The artefacts overlap heavily with ISO 42001 and ISO 27001 evidence and can be produced once and reused.

Related terms

  • EU AI Act - The EU AI Act (Regulation (EU) 2024/1689) is the European Union's horizontal regulation for AI, classifying systems by risk and imposing obligations on providers, deployers, importers, and distributors.
  • ISO 42001 - ISO/IEC 42001 is the international standard for AI management systems, specifying requirements for establishing, implementing, maintaining, and continually improving an AI governance programme.
  • AI Risk Management - AI risk management is the discipline of identifying, assessing, mitigating, and monitoring the harms an AI system can cause across its lifecycle.
  • TRACE Methodology - TRACE is Impetora's four-pillar methodology for delivering enterprise AI in regulated industries: Trust, Readiness, Architecture, Citations.

External references

Impetora

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