IMPACTHOLDINGS

ISO/IEC 42001:2023

Artificial Intelligence Management System (AIMS) Certification — The world's first international standard for AI management systems, providing a framework for organisations to responsibly develop, provide, or use AI systems.

Benefits of ISO/IEC 42001

Responsible AI Governance

Establish a structured framework for governing AI systems, ensuring ethical development, deployment, and use of artificial intelligence across your organisation.

Risk Management

Identify, assess, and mitigate risks associated with AI systems, including bias, accountability, transparency, and data protection.

Stakeholder Confidence

Demonstrate to customers, regulators, and partners that your organisation manages AI responsibly and in accordance with international standards.

Competitive Advantage

Be among the first organisations to achieve ISO/IEC 42001 certification, positioning yourself as a leader in trustworthy and responsible AI.

Key Areas of the Standard

AI Policy & Objectives

Develop a comprehensive AI policy that defines your organisation's commitment to responsible AI, along with measurable objectives aligned with your strategic direction.

AI Risk Assessment

Implement a structured AI risk assessment process covering bias, fairness, transparency, explainability, data quality, privacy, and security throughout the AI system lifecycle.

AI Impact Assessment

Conduct impact assessments for AI systems to evaluate potential effects on individuals, groups, and society, including ethical, legal, and societal implications.

AI System Lifecycle Management

Establish processes for the responsible design, development, testing, deployment, monitoring, and decommissioning of AI systems.

Data Governance

Implement robust data governance practices for AI, including data quality, provenance, consent, bias mitigation, and protection of personal and sensitive data.

Third-Party & Supply Chain Oversight

Manage risks associated with third-party AI components, models, and data providers through supplier assessment and ongoing monitoring.

Implementation Process

1

Gap Analysis

We assess your current AI governance practices against ISO/IEC 42001 requirements, identifying gaps and areas for improvement.

2

AIMS Framework Design

Design your AI Management System (AIMS) framework including AI policy, risk methodology, roles and responsibilities, and governance structure.

3

Risk & Impact Assessment

Conduct AI risk assessments and impact assessments for your AI systems, establishing controls and treatment plans.

4

Documentation & Implementation

Develop required documentation including policies, procedures, AI system inventories, and implement the 38 controls specified in the standard.

5

Internal Audit & Management Review

Conduct internal audits to verify conformity and management reviews to ensure the AIMS is effective and aligned with objectives.

6

Certification

Support through the certification audit process with an accredited certification body, including Stage 1 and Stage 2 audits.

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