ISO/IEC 30146:2019 AI Governance and Management Framework
About the standard:
ISO/IEC 30146:2019 provides a structured framework for the governance and management of artificial intelligence within organizations. It ensures AI initiatives are strategically aligned, ethically guided, and risk-aware, supporting organizational goals while safeguarding stakeholders.
Main objectives of ISO/IEC 30146:2019
Align AI with business strategy
Ensure AI initiatives support organizational objectives.
Promote ethical AI governance
Implement AI responsibly, respecting societal and legal norms.
Manage AI risks
Identify and mitigate risks associated with AI deployment.
Enhance accountability and transparency
Establish clear responsibilities for AI outcomes.
Support AI lifecycle management
Oversee AI from development through deployment and maintenance.
Key responsibilities & Advantages of the standard
Strategic alignment
Ensure AI projects align with organizational goals and policies.
Policy development
Create AI governance policies reflecting ethical and legal standards.
Risk and compliance management
Assess and address AI-related risks and regulatory requirements.
Monitoring and evaluation
Track AI performance, impact, and compliance continuously.
Stakeholder engagement
Involve stakeholders in AI governance processes.
Improved strategic AI deployment
Aligns AI with core business objectives.
Ethical AI adoption
Ensures responsible AI practices and reduces reputational risk.
Risk mitigation
Reduces potential negative impacts from AI systems.
Enhanced transparency
Clear responsibilities and reporting improve accountability.
Better AI lifecycle management
Structured oversight ensures AI quality and sustainability.
How your company benefits
Responsible AI governance
Ensures AI initiatives are ethical, accountable, and effective.
Aligned AI strategy
Leverage AI to achieve organizational goals efficiently.
Reduced operational risks
Identify and manage risks proactively.
Stakeholder trust
Increase confidence from customers, employees, and partners.
Sustainable AI adoption
Support long-term management and continuous improvement of AI systems.
The main principles of this system are
Strategic alignment
Ensure AI serves organizational objectives.
Ethical governance
Uphold integrity, fairness, and societal responsibility in AI use.
Risk management
Prioritize identification, evaluation, and mitigation of risks.
Transparency and accountability
Clearly define responsibilities and report outcomes.
Lifecycle management
Oversee all stages of AI system development and deployment.