인공지능 경영시스템 구조

• 1 Scope

  2 Normative references

  3 Terms and definitions

  4 Context of the organization

  4.1 Understanding the organization and its context

  4.2 Understanding the needs and expectations of interested parties

  4.3 Determining the scope of the AI management system

  4.4 AI management system

  5 Leadership

  5.1 Leadership and commitment

  5.2 AI policy

  5.3 Roles, responsibilities and authorities

  6 Planning

  6.1 Actions to address risks and opportunities

  6.2 AI Objectives and planning to achieve them

  6.3 Planning of changes

  7 Support

  7.1 Resources

  7.2 Competence

  7.3 Awareness

  7.4 Communication

  7.5 Documented information

  8 Operation

  8.1 Operational planning and control

  8.2 AI risk assessment

  8.3 AI risk treatment 8.4 AI system impact assessent

  9 Performance evaluation

  9.1 Monitoring, measurement, analysis and evaluation

  9.2 Internal audit

  9.3 Management review

  10 Improvement

  10.1 Continual improvement

  10.2 Nonconformity and corrective action

• 1. Annex A (normative) Reference control objectives and controls

  A.1 General

  2. Annex B (normative) Implementation guidance for AI controls

  B.1 General

  B.2 Policies related to AI

  B.3 Internal organization

  B.4 Resources for AI systems

  B.5 Assessing impacts of AI systems

  B.6 AI system life cycle

  B.7 Data for AI systems

  B.8 Information for interested parties

  B.9 Use of AI systems

  B.10 Third-party and customer relationships

  3. Annex C (informative) Potential AI-related organizational

  C.1 General

  C.2 Objectives

  C.3 Risk sources

  4. Annex D (informative) Use of AI management system across
  domains or sectors

  D.1 General

  D.2 Integration of AI management system with other management system standards