Artificial Intelligence Management Framework (ISO/IEC 23053:2022)

About the standard:

About the standard:

ISO/IEC 23053:2022 provides a unified framework for managing artificial intelligence systems. It outlines the structure, processes, and lifecycle governance needed to ensure responsible, transparent, and effective AI deployment. The standard supports organizations in achieving trustworthy AI aligned with ethical principles and regulatory requirements.

Main objectives

Standardize AI lifecycle management

Provide a structured approach for developing, deploying, and monitoring AI systems.

Ensure trustworthy AI

Promote fairness, transparency, and accountability.

Risk management

Identify and mitigate risks associated with AI models and data.

Enhance AI governance

Establish clear roles, policies, and controls.

Support continuous improvement

Improve AI quality and performance over time.

Key responsibilities & Advantages of the standard

Key responsibilities & Advantages of the standard

AI governance policies

Define ethical, operational, and security rules.

Model development oversight

Ensure quality, accuracy, and reliability.

Risk and impact assessment

Evaluate risks across AI lifecycle stages.

Data governance

Ensure data quality, privacy, and compliance.

Monitoring and evaluation

Track AI performance and identify biases.

Documentation

Maintain records for accountability and audit readiness.

Trustworthy and ethical AI

Increase user and stakeholder confidence.

Regulatory readiness

Align with global AI governance frameworks.

Reduced risks

Minimize errors, bias, and operational failures.

Operational efficiency

Streamline AI development and deployment.

Continuous improvement

Enhance AI reliability and performance long-term.