التقنية : الميتافيرس

ISO/IEC 42001:2023 Artificial Intelligence Management System

This intensive 5-day course equips you with the knowledge and skills to lead audits of Artificial Intelligence Management Systems (AIMS) based on the latest ISO 42001:2023 standard.

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About the Workshop

This course equips you with the knowledge and skills to implement and manage an Artificial Intelligence Management System (AIMS) based on the ISO/IEC 42001 standard. You’ll gain a comprehensive understanding of the standard’s requirements and how to integrate them into your organization’s AI development and deployment practices.

Target Audiences

The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.

AI Developers
AI and Machine Learning Engineers
Data Scientists and Analysts
Project Managers involved in AI projects
IT Professionals, IT Managers, and Consultants
Business Leaders and Executives overseeing AI initiatives
Quality Assurance Professionals
Technology Strategists
Compliance Officers and Risk Managers
Anyone interested in understanding and implementing responsible AI practices

Organizations that would most benefit from this training are those seeking to utilize artificial intelligence to deliver improved business outcomes.

Common industry verticals include and not limited to:

Government
Banking
Healthcare
Manufacturing
Education
Energy and utilities
Retail

Related Jobs / Roles

AI Architect
AI Engineer
Machine Learning Engineer
Data Analyst
AI Project Manager
Chief Data Officer (CDO)
Chief Information Officer (CIO)
Chief Technology Officer (CTO)
AI Compliance Officer
AI Quality Assurance Specialist
AI Governance Manager
Data Protection Officer
AI Ethics Consultant

What You Will Learn?

Understand the key concepts and principles of ISO/IEC 42001
Explore the framework for establishing, implementing, maintaining, and improving an AIMS
Conduct risk assessments for AI systems
Implement and maintain AI management systems
Develop ethical AI policies and procedures
Ensure data security, privacy, and fairness in AI development and use
Understand ethical, legal, and societal implications of AI
Audit and continuously improve AI systems
Monitor and measure the performance of AI systems
Continuously improve your AIMS based on learnings and feedback

Why Should you attend the course ?

Gain expertise in a globally recognized AI management standard
Gain a competitive edge by demonstrating your commitment to responsible AI development.
Enhance your skills and knowledge in managing AI technologies
Ensure your organization complies with the first international standard for AI management systems
Mitigate risks associated with AI systems
Build trust with stakeholders by implementing ethical AI practices
Enhance your career prospects in the rapidly growing field of AI
Improve the quality, safety, and ethical standards of AI in your organization
Stay ahead in a rapidly evolving AI landscape
Achieve professional growth and recognition in AI management

Skills that attendees will acquire after the course

Understanding of ISO/IEC 42001 requirements
Ability to design and implement AI management systems
AIMS implementation and management skills
Risk assessment for AI systems
Development of ethical AI policies and procedures, AI ethics and compliance
Data security, privacy, and fairness expertise in AI
Risk management in AI systems
Continuous improvement techniques for AI

Course Focus Areas

1. Understanding ISO/IEC 42001:

Comprehensive overview of the standard.
Key principles and requirements.
Scope and applicability.

2. Implementation Strategies:

Step-by-step guidance on implementing the standard.
Best practices for successful implementation.
Common challenges and how to overcome them.

3. Risk Management::

Identifying and assessing AI-related risks.
Developing and implementing risk mitigation strategies.
Continuous monitoring and improvement.

4. Compliance and Auditing:

Ensuring compliance with ISO/IEC 42001 requirements.
Preparing for and conducting internal audits.
Continuous compliance and certification maintenance.

5. Ethical and Legal Considerations:

Addressing ethical concerns in AI management.
Understanding legal requirements and regulations.
Ensuring responsible AI use.

Course Competencies

Knowledge of ISO/IEC 42001:

Detailed understanding of the standard and its requirements.
Ability to interpret and apply the standard in various contexts.

2.Implementation Skills:

Proficiency in developing and executing implementation plans.
Ability to use templates and tools provided in the course.

3. Risk Assessment and Management:

Skills in identifying, evaluating, and mitigating risks.
Ability to create comprehensive risk management plans.

4. Audit and Compliance:

Competence in conducting internal audits.
Ensuring ongoing compliance with the standard.

5. Ethical and Legal Awareness:

Understanding ethical implications and legal requirements.
Ability to incorporate ethical considerations into AI management practices.

Prerequisites

Basic understanding of AI concepts is recommended
Experience working with AI systems is a plus, but not required
Familiarity with management system standards (e.g., ISO 9001) is beneficial but not required

Material Includes

Training Guide

1. Course Handbook:

Comprehensive guide covering all course modules.
Detailed explanations of ISO/IEC 42001 principles, requirements, and implementation strategies.

2. Lecture Slides:

Visual aids used during lectures for better understanding.
Key points, diagrams, and examples.

3. Study Notes:

Summarized notes for quick reference.
Important points highlighted from each lecture.

Service Guide

1. Implementation Manual:

Step-by-step instructions on how to implement the ISO/IEC 42001 standard.
Detailed processes, templates, and best practices.

2. Risk Assessment Templates:

Templates to help identify, evaluate, and mitigate AI-related risks.
Examples and guidelines on how to fill out the templates.

3. Compliance Checklists:

Checklists to ensure all necessary steps are taken for compliance.
Items covering legal, ethical, and operational aspects.

Practical Tools

1. Case Studies:

Real-world examples of successful ISO/IEC 42001 implementation.
Analysis of challenges faced and solutions applied.

2. Interactive Exercises:

Practical exercises to apply concepts learned.
Group activities, role-playing scenarios, and problem-solving tasks.

3. Software Tools:

Access to AI management software or platforms used during the course.
Training on how to use these tools effectively.

Templates and Forms

1.Policy Templates:

Pre-formatted templates for creating AI management policies.
Customizable to fit specific organizational needs.

2. Procedure Documents:

Standard operating procedures for AI management tasks.
Detailed instructions for routine processes.

3. Audit and Review Forms:

Templates for conducting internal audits.
Forms to document compliance reviews and continuous improvement activities.

Reference Materials

1. ISO/IEC 42001 Standard Text:

Official documentation of the ISO/IEC 42001 standard.
Detailed clauses and explanations.

2. Reference Books and Articles:

Books and scholarly articles on AI management and ISO standards.
Additional reading materials for deeper understanding.

3. Glossary of Terms:

Definitions of key terms and concepts used in the course.
Helpful for participants unfamiliar with technical jargon.

Support Resources

1. Access to Online Resources:

Membership to online forums or communities for ongoing support.
Access to webinars, video tutorials, and additional learning modules.

2. Q&A Sessions:

Scheduled sessions for participants to ask questions and get clarifications.
Opportunities for one-on-one consultations with instructors.

3. Support Contact Information:

Contact details for support post-course.
Email, phone, and online chat options for assistance with implementation.

Delivery Format

1. Printed Materials:

Physical copies of guides, templates, and notes.

2. Digital Resources:

Downloadable PDFs and editable documents.
Online access to tools and software platforms.

3. Workshops and Webinars:

Interactive workshops for hands-on practice.
Live and recorded webinars for remote learning.

4. Certification Exam Preparation:

Practice exams and sample questions.
Study guides focused on certification requirements.

Practices

Practices for the ISO/IEC 42001 Course
English

1. Interactive Workshops:

Hands-on sessions where participants work on real-world scenarios.
Group activities to encourage collaboration and knowledge sharing.
Practical exercises to apply concepts learned.

2. Case Study Analysis:

In-depth examination of successful ISO/IEC 42001 implementations.
Discussion of challenges faced and solutions applied.
Lessons learned and best practices.

3. Risk Assessment Exercises:

Identifying and evaluating AI-related risks.
Developing risk mitigation strategies.
Using provided templates and tools for risk management.

4. Compliance Audits:

Conducting mock internal audits.
Reviewing compliance checklists and documentation.
Identifying areas for improvement and developing action plans.

5. Role-Playing Scenarios:

Simulating real-world situations to practice decision-making.
Role-playing different stakeholders to understand various perspectives.
Problem-solving tasks to reinforce learning.

6. Policy and Procedure Development:

Creating AI management policies using provided templates.
Developing standard operating procedures for AI tasks.
Customizing documents to fit organizational needs.

7. Ethical and Legal Considerations Workshops:

Discussing ethical implications and legal requirements of AI.
Analyzing case studies on ethical dilemmas.
Developing strategies for ethical AI management.

8. Software Tools Training:

Hands-on training with AI management software or platforms.
Demonstrating how to use tools effectively.
Practice sessions to build proficiency.

9. Q&A Sessions and One-on-One Consultations:

Scheduled sessions for participants to ask questions.
Opportunities for individual consultations with instructors.
Addressing specific concerns and providing tailored advice.

10. Certification Exam Preparation:

Practice exams and sample questions.
Study guides focused on certification requirements.
Tips and strategies for successful exam performance.

Arabic

1. ورش العمل التفاعلية:

جلسات عملية حيث يعمل المشاركون على سيناريوهات واقعية.
أنشطة جماعية لتعزيز التعاون وتبادل المعرفة.
تمارين عملية لتطبيق المفاهيم المكتسبة.

2. تحليل دراسات الحالة:

فحص متعمق لتنفيذات ناجحة لمعيار ISO/IEC 42001.
مناقشة التحديات التي واجهتها والحلول المطبقة.
الدروس المستفادة وأفضل الممارسات.

3. تمارين تقييم المخاطر:

تحديد وتقييم المخاطر المتعلقة بالذكاء الاصطناعي.
تطوير استراتيجيات التخفيف من المخاطر.
استخدام القوالب والأدوات المقدمة لإدارة المخاطر.

4. تدقيق الامتثال:

إجراء تدقيقات داخلية وهمية.
مراجعة قوائم التحقق ووثائق الامتثال.
تحديد مناطق التحسين وتطوير خطط العمل.

5. سيناريوهات لعب الأدوار:

محاكاة مواقف واقعية لممارسة اتخاذ القرارات.
لعب أدوار أصحاب المصلحة المختلفين لفهم وجهات النظر المختلفة.
مهام حل المشكلات لتعزيز التعلم.

6. تطوير السياسات والإجراءات:

إنشاء سياسات إدارة الذكاء الاصطناعي باستخدام القوالب المقدمة.
تطوير إجراءات التشغيل القياسية لمهام الذكاء الاصطناعي.
تخصيص الوثائق لتناسب احتياجات المنظمة.

7. ورش العمل حول الاعتبارات الأخلاقية والقانونية:

مناقشة التداعيات الأخلاقية والمتطلبات القانونية للذكاء الاصطناعي.
تحليل دراسات الحالة حول المعضلات الأخلاقية.
تطوير استراتيجيات لإدارة الذكاء الاصطناعي بشكل أخلاقي.

8. تدريب على أدوات البرمجيات:

تدريب عملي على إدارة البرمجيات أو المنصات المستخدمة في الذكاء الاصطناعي.
عرض كيفية استخدام الأدوات بشكل فعال.
جلسات تدريب لبناء الكفاءة.

9. جلسات الأسئلة والأجوبة والمشاورات الفردية:

جلسات مجدولة لطرح الأسئلة من قبل المشاركين.
فرص للتشاور الفردي مع المدربين.
معالجة القضايا المحددة وتقديم نصائح مخصصة.

10. التحضير لامتحان الشهادة:

اختبارات تجريبية وأسئلة نموذجية.
أدلة دراسية تركز على متطلبات الشهادة.
نصائح واستراتيجيات لتحقيق أداء ناجح في الامتحان.

By incorporating these practices into the course, participants will gain practical experience and confidence in implementing the ISO/IEC 42001 standard, preparing them effectively for real-world application and certification.

Course Modules & Topics

Module 1: Introduction to ISO/IEC 42001

Understanding AI and its implications
Key concepts and terminology
The need for responsible AI development
Introduction to ISO/IEC 42001 Certification and its benefits

Module 2: Key Requirements of ISO/IEC 42001

Leadership and governance for AI
Planning and design of AI systems
Support for AIMS implementation

Module 3: AIMS Implementation and Operations

Establishing an AI Management System (AIMS)
Structure and requirements
Designing an AI management system
Conducting risk assessments for AI systems
Developing and implementing ethical AI policies
Data security, privacy, and fairness controls in AI
Integrating AI development, deployment, and use with existing processes

Module 4: Performance Evaluation and Improvement

Monitoring and measuring AI system performance
Conducting internal audits of the AIMS
Continuously improving the AIMS based on learnings and feedback

Module 5: Governance and Accountability in AI

Establishing roles and responsibilities
Policy development and implementation

Module 6: Risk Management in AI

Identifying and assessing AI risks
Mitigation strategies and best practices

Module 7: Compliance and Ethical Considerations

Legal and regulatory requirements
Ethical guidelines and frameworks

Module 8: Performance Monitoring and Continuous Improvement

Techniques for tracking AI system performance
Implementing continuous improvement processes

Module 9: Implementation and Case Studies

Practical steps for implementing ISO/IEC 42001
Real-world examples and case studies

Module 10: Auditing and Certification

Preparing for AI system audits

Module 11: Aligning with the UN Sustainable Development Goals (SDGs)

How ISO/IEC 42001 aligns with SDGs, with Use-Cases

Module 12: ISO/IEC 42001:2023 & other Standards

How ISO 42001 helps with EU AI Act compliance
Comparison of EU AI Act and ISO/IEC 42001
The relation between ISO 42001 & Other Standards (ISO/IEC 22989, ISO/IEC 23894, ISO/IEC 38507)

Module 13: The Future of AI and ISO/IEC 42001

Emerging trends in AI governance and regulation
The evolving landscape of ISO/IEC 42001

Module 14: Preparing for Certification

Understanding the ISO/IEC 42001 certification process
Certification process and requirements
Preparing for an AIMS certification audit

Module 15: Practical Steps for Implementation

Industry-specific considerations (for Governmental Bodies, Financial Institutes, Telco Companies & Others)
Use ISO/IEC 42001 to guide organizations toward Trustworthy AI

Module 16: Practical Exam Preparations