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AI Needs More Than Innovation
AI can improve productivity, decision-making and customer experiences, but introducing AI also creates new questions around risk, responsibility, transparency and oversight. A structured AI Management System helps organizations establish how AI is selected, developed, deployed, monitored and improved throughout its lifecycle.
AI Use Cases
Risk & Impact
Human Oversight
Ongoing Monitoring
What is ISO/IEC 42001?
ISO/IEC 42001 is an international standard for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System (AIMS).
It provides a structured management framework for organizations that develop, provide or use AI systems, helping them address AI-related risks and opportunities while establishing appropriate governance and controls.
Responsible AI Starts With Good Governance
Governance
Establish policies, and decision-making structures for AI within the organization.
People & Competence
Ensure people understand their responsibilities and have the appropriate skills.
Risk Management
Identify, assess and address risks associated with AI systems and their intended use.
Transparency
Establish appropriate approaches for transparency, and accountability.
Data & Information
Consider the quality, relevance, security and appropriate use of data supporting AI systems.
Monitoring
Monitor AI systems to identify issues, changes and opportunities for improvement.
Why Organizations Are Turning to ISO/IEC 42001
How can PDCA help
PDCA helps organizations translate ISO/IEC 42001 requirements into practical AI governance processes. Our approach focuses on understanding how AI is being used, identifying relevant risks and establishing management practices that can work within the organization's existing operating model.
1
AI Governance Assessment
Review existing AI practices, policies, responsibilities and controls against requirements.
4
Internal Review
Evaluate & review the effectiveness of AI management practices and address the gaps.
2
Implementation Planning
Define priorities, responsibilities and a practical roadmap for establishing the AIMS.
5
Certification Readiness
Prepare the organization and AI Management Systems for the certification audit.
3
AIMS Implementation
Develop and implement the governance processes, policies, documentation for the AIMS.
6
Certification Support
Support coordination with the appropriate certification body through the certification process.