Conformity Assessment

The set of procedures (including independent testing, certification, registration, audits, and review of documentation) used to determine whether a high-risk AI system meets the mandatory guardrails and applicable standards. Conformity assessment may be performed by regulators or accredited third parties and can be a prerequisite for deployment or market access for certain classes of systems.

The set of assessment approaches (self‑assessment, third‑party audit, or regulator‑led certification) proposed to determine whether an AI system meets the guardrails appropriate to its risk profile, conducted prior to deployment in high‑risk settings and documented to demonstrate compliance.

A risk‑based process of pre‑deployment testing, technical evaluation and certification for high‑impact AI systems intended to verify compliance with safety, transparency, privacy and other regulatory requirements, potentially resulting in conformity certificates and registry entries.

The process by which providers demonstrate that an AI system, particularly high-risk systems, complies with the Regulation's mandatory requirements; this may take the form of self-assessment or third‑party assessment by notified bodies, and includes preparation of technical documentation, testing, and possible certification and registration in the EU database.

Procedures and tests used to evaluate whether an AI system or its use complies with applicable technical standards, legal obligations and risk‑based requirements (including approaches aligned with the EU AI Act), and to produce evidence for deployment, procurement or supervisory actions.

Evaluation steps and planned assessment methods (including safety, privacy, sectoral compliance and third-party evaluations) applied to sandboxed AI systems prior to broader market deployment to inform compliance, certification approaches and future national AI policy.

The procedures (self‑assessment or third‑party assessment by recognised/notified bodies) set out to evaluate and demonstrate that an AI system complies with the applicable requirements of the EU AI Act as implemented nationally by LN 226, including documentation, testing, and issuance of conformity outcomes used for registration and market access.

A process of technical and regulatory validation required before placing certain AI systems (notably high-risk systems) on the market or into service, including accredited testing, certification by authorized bodies, pre-deployment audits, and ongoing post-market surveillance to verify compliance with applicable standards and obligations.

A process of evaluation—conducted by third parties or regulators—to verify that an AI system meets required technical, safety, ethical, and legal standards, and which may result in certification, permitting, registration, or other formal approvals for market deployment.

A technical evaluation process to verify that an AI or robotic system meets the Commission's standards, implemented via tiered pathways including self-assessment, third-party testing, and Commission-led certification, and subject to accreditation and mutual recognition arrangements.

Formal procedures — which may include self‑assessment, third‑party testing, or certification — used to verify that an AI system, particularly a high‑risk system, meets the Code's technical, safety, data protection and governance requirements prior to market entry or continued operation.

A formal process (pre-market or post-market) to verify and certify that an AI system complies with statutory and regulatory requirements set by the law and implementing regulations, which may involve testing, documentation review, and certification by designated bodies. Conformity assessment is a prerequisite for registration of high-risk systems in the national registry.

The processes used to assess whether AI systems meet applicable standards and regulatory requirements, including methodologies, testing approaches and certification practices shared between Parties as part of standards and regulatory dialogue.

Formal procedures and processes for determining whether an AI system meets defined technical standards and regulatory requirements, including testing, certification, accreditation of notified bodies, and dispute resolution mechanisms. The Roadmap emphasises both horizontal and sectoral conformity schemes as the technical basis for market access and regulatory compliance.

The set of procedures (self-assessment or assessment by notified conformity assessment bodies, as set out in the Regulation and its Annexes) by which a provider demonstrates that a high-risk AI system fulfils the Act's mandatory requirements, potentially resulting in CE marking and registration in the EU high-risk systems database.

The documented process—either self-assessment or third-party assessment—by which providers of high-risk AI demonstrate compliance with the draft's technical and organisational requirements, including risk management, technical documentation, and performance checks; assessment results must be recorded and (where applicable) registered in the national registry.

The set of procedural and technical checks, testing, documentation review and accreditation activities (to be specified by delegated decrees and overseen by AgID) by which an AI system is evaluated to determine compliance with statutory requirements for placing on the market or putting into service, including use of accredited conformity‑assessment bodies.

Processes (to be established by the General Law or delegated authorities) for evaluating and certifying that certain AI systems meet applicable technical standards and regulatory requirements, including testing, audits, and issuance of conformity documentation or registrations prior to or during market deployment.

Processes of testing, accreditation, and certification to verify that ICT products, systems, and services meet prescribed Pakistan Security Standards (PSS) and assurance requirements; implemented via accredited testing labs and conformity-assessment bodies for high-risk imports and critical systems.

A formal process (which may be self-assessment or third-party assessment) to demonstrate that an AI system complies with applicable legal and technical requirements set out by the Convention and implementing measures, including potential registration or certification outcomes.

Conformity assessment involves a set of procedures, diagrams, and checklists provided by IEEE 7002-2022 that enable organizations to evaluate their specific privacy practices. This process allows for a measurable way to demonstrate adherence to the standard's requirements, ensuring that privacy controls and measures are effectively implemented and maintained.

Conformity assessment is a mandatory procedure for high-risk AI systems to demonstrate that they comply with the essential requirements of the EU AI Act before being placed on the market or put into service. This process can involve internal controls or third-party assessments by notified bodies, culminating in a CE marking and an EU declaration of conformity, ensuring the system's safety and trustworthiness.

Conformity assessment refers to the process of demonstrating whether specific requirements relating to an AI system have been fulfilled. This typically involves procedures like internal control, quality management systems, or assessment by an independent third-party notified body to ensure compliance with legal standards.

This assessment is a mandatory procedure for high-risk AI systems, verifying that they comply with safety, transparency, and ethical standards before being placed on the market or put into service.