التقنية : الميتافيرس
- AR Version
- Tech : Intelligence / Executive Course
الرئيس التنفيذي لإدارة الذكاء الاصطناعي™
Chief AI Overseer (CAIO)™ Workshop
Introducing the first-of-its-kind program that ensures you don’t just learn about AI – you master it. Empower leaders to excel in AI governance, strategic innovation, and risk assessment by mastering the LEAP-GDC methodology in the Chief AI Overseer role.
- Last updated : March 13, 2025
- 4.721 students
About the Workshop
The training program for Chief AI Overseer (CAIO) is incorporate the combined responsibilities of:
- – Chief AI Overseer: Overseeing AI governance, strategic alignment, and ensuring AI initiatives comply with global and organizational standards.
- – Chief AI Officer: Leading AI innovation, building AI-driven strategies, and ensuring business integration.
- – Chief AI Assessor: Evaluating AI maturity, conducting risk assessments, and ensuring ethical AI deployment.
The program is to cover AI governance, strategic leadership, operational alignment, risk management, compliance, and innovation.
This Comprehensive program equips participants with the knowledge and practical skills to lead AI initiatives as Chief AI Overseer (CAIO). The course integrates governance, strategy, risk management, and compliance, providing hands-on experience in AI oversight. Participants will develop the competencies needed to align AI technologies with business goals while addressing ethical and legal challenges.
The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.
- – Senior Executives and Managers responsible for AI strategy and implementation.
- – C-Suite executives (e.g., CIO, CTO, CAIO).
- – Professionals aspiring to roles such as CAIO, Chief AI Officer, or Chief AI Assessor.
- – Industry leaders driving digital transformation through AI.
- – Governance and compliance officers managing AI systems.
- – AI strategy and governance professionals.
- – Business leaders and project managers overseeing AI initiatives.
- – Policy makers and compliance officers.
- – IT and digital transformation leaders.
- – Chief AI Overseer (CAIO)
- – Chief AI Officer (CAIO)
- – Chief AI Assessor
- – AI Governance Manager
- – AI Risk and Compliance Officer
- – Strategic AI Consultant
- – AI Governance Specialist.
- – Executive Director of AI Operations.
- – Develop and lead AI strategies aligned with business goals.
- – Implement AI governance frameworks and ensure regulatory compliance.
- – Assess AI maturity and mitigate risks in AI systems.
- – Oversee ethical AI practices and manage cross-functional teams.
- – Execute AI deployment strategies with continuous monitoring.
- – Gain a globally recognized credential in AI governance and strategy.
- – Gain practical knowledge and tools to lead AI initiatives confidently.
- – Learn from industry experts about cutting-edge AI governance techniques.
- – Build capabilities to manage risks and ensure ethical AI practices.
- – Obtain a globally recognized certification to advance your career.
- – AI strategy development and leadership.
- – Risk management and mitigation in AI systems.
- – Ethical AI implementation and governance.
- – Compliance with international AI standards.
- – Strategic oversight of AI operations and deployment.
1. AI Strategy Development
- – Building AI-driven strategies that align with organizational goals.
2. Governance and Compliance
- – Implementing governance frameworks and ensuring adherence to AI standards.
3. Risk Management and Mitigation
- – Identifying, assessing, and mitigating risks associated with AI systems.
4. Ethical AI Deployment
- – Ensuring responsible and unbiased AI implementation across operations.
5. Cross-Functional Leadership
- – Managing diverse teams and fostering collaboration for AI success.
6. Continuous Monitoring and Improvement
- – Overseeing AI performance and ensuring long-term operational efficiency.
1. Strategic Decision-Making for AI Initiatives
- – Expertise in leading AI initiatives aligned with business objectives.
2. AI Risk and Compliance Frameworks
- – Proficiency in applying frameworks to manage AI risks and regulatory requirements.
3. AI Operational Excellence
- – Skills to design, deploy, and monitor AI systems effectively.
4. Governance and Ethical Implementation
- – Ability to implement ethical AI practices and ensure accountability.
5. Continuous AI Monitoring and Improvement
- – Competence in tracking AI performance for ongoing optimization.
- – Basic understanding of AI concepts and applications.
- – Experience in leadership, strategy, or governance roles is recommended.
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
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.
The Course Structure are build based on LEAP-GDC framework ensures that each stage is enriched with practical, theoretical, and strategic learning objectives, to ensure the program comprehensively meets all the requirements of a CAIO role, some enhancements and additional topics are suggested to fill potential gaps and align with the responsibilities of this strategic role.
Purpose:
Provide foundational and advanced knowledge of AI concepts, governance, strategic leadership, and ethical implementation tailored for CAIOs.
Module 1: Understanding AI:
1.1 Introduction to AI in Business.
1.2 Basic Concepts of AI.
1.3 History and Evolution of AI in Business.
1.4 Importance of AI in Modern Business Practices.
1.5 AI Trends, Terminology, and Applications.
1.6 The Impact of AI on Industries and Economies.
1.7 Overview of Generative AI and its Business Implications.
1.8 AI’s Role in Sustainability and ESG.
1.9 Exploring the Role of AI in Organizational Strategy Development.
1.10 Emerging AI Technologies: Quantum computing, federated learning, and multimodal AI.
1.11 Understanding Deterministic, Probabilistic, and Generative AI.
Module 2: Introduction to AI Governance:
2.1 Fundamentals of AI Governance.
2.2 Ethical AI Development Principles.
2.3 Regulatory Landscape & Frameworks (ISO 42001, EU AI Act, etc.).
2.4 Evaluating ISO 42001 controls, data quality, and their impact.
2.5 Complying with the EU AI Act and Responsible AI Principles.
2.6 Ethics in AI Development.
2.7 AI and Privacy Laws.
2.8 AI Accountability Frameworks for Executives.
2.9 Interdepartmental Collaboration in Governance.
2.10 Developing Organizational AI Governance Boards.
2.11 Bias, Fairness, and Transparency in AI
2.12 Building a Culture of Compliance in AI Organizations.
Purpose:
Enable participants to design, model, and align AI initiatives with organizational goals while fostering innovation and operational excellence.
Learning Topics:
Module 3: Strategic AI Leadership:
3.1 The Role of the Chief AI Officer (CAIO).
3.2 Strategic AI Development and Leadership.
3.3 Aligning AI Projects with Business Goals.
3.4 Driving Cross-Functional AI Adoption.
3.5 Risk Management in AI Implementation.
3.6 Building a Data-Driven Culture.
3.7 Developing AI Talent and Leadership Skills.
3.8 Ensuring Continuous AI Improvement & Adaptability.
Module 4: AI Project Operations Management:
4.1 AI Project Management.
4.2 Designing AI Project Roadmaps Aligned with Business Goals.
4.3 AI Project Challenges: Scope Creep, Resource Allocation & Integration.
4.4 Using Agile Methodologies for AI Project Management.
4.5 Integrating AI into Business Operations, Customer Service, and Product Development.
4.6 AI Model Lifecycles: Creation, Maintenance, and Decommissioning.
4.7 Using AI Automation Tools to Enhance Team Efficiency.
Purpose:
Validate AI models, strategies, and frameworks through testing and risk assessment while fostering accountability.
Learning Topics:
Module 5: Compliance and Risk Management:
5.1 AI Regulations and Legal Requirements.
5.2 Data Privacy and Security in AI Systems.
5.3 Assessing and Mitigating AI-Related Risks.
5.4 Mitigating AI Bias and Ethical Risks.
5.5 Building AI Risk Taxonomies.
5.6 Incident Response Plans for AI Failures.
5.7 Intellectual Property and Licensing Risks.
5.8 Testing AI Systems for Bias and Unintended Outcomes.
5.9 Performing AI Risk Simulations for Organizational Readiness.
Module 6: Practical AI Assessment:
6.1 AI Lifecycle Management.
6.2 Practical exercises in overseeing AI systems.
6.3 Team discussions on ethical dilemmas and risk mitigation.
6.4 Auditing AI Systems for Compliance with International Standards.
Purpose:
Develop actionable strategies and plans to scale AI systems while ensuring alignment with organizational goals.
Learning Topics:
Module 7: Strategic Planning for AI Enablement:
7.1 Evaluating AI Ecosystem Interoperability.
7.2 Creating Strategic Roadmaps for AI Integration.
7.3 Defining KPIs and Success Metrics for AI Projects.
7.4 Building AI Knowledge Repositories.
Purpose:
Ensure AI systems operate within ethical, legal, and organizational boundaries through robust governance frameworks.
Learning Topics:
Module 8: AI Governance Frameworks:
8.1 Establishing AI Governance Boards.
8.2 Implementing AI Security Measures for Cyber Resilience.
8.3 Managing Compliance with AI-related Regulations.
8.4 Building Organizational Transparency in AI Decision-Making.
8.5 Ethical AI Decision-Making & Regulatory Compliance.
8.6 AI’s Role in Cybersecurity.
Purpose:
Deploy AI systems efficiently and ensure they remain effective through continuous monitoring and adaptation.
Learning Topics:
Module 9: Deployment Strategies:
9.1 Case Studies: Leading AI-driven projects.
9.2 Ensuring Data Sovereignty and Security.
9.3 Monitoring AI Ecosystem Interoperability.
9.4 Deployment Challenges in High-Risk Industries and How to Address Them.
9.5 Scaling AI from Prototype to Production.
Module 10: Continuous Monitoring:
10.1 Building Feedback Loops for AI Performance Improvement.
10.2 Leveraging Monitoring Tools for Real-Time Analysis.
10.3 Building Continuous Integration & Deployment Pipelines (CI/CD)
10.4 Ethical AI Monitoring & Compliance.
Purpose:
Validate the organization’s and participants’ competencies through rigorous certification processes.
Learning Topics:
Module 11: Certification Preparation:
11.1 Review of Key Concepts.
11.2 Exam Preparation and Practice.
11.3 Capstone Project: Developing a real-world AI strategy.
- – Governance Policies: Templates for AI governance boards and committees.
- – Risk Assessment Frameworks: Tools for evaluating AI risks and compliance.
- – Compliance Checklists: Guidelines for ISO 42001 and EU AI Act adherence.
- – AI Project Management Tools: Templates for planning, monitoring, and evaluation.
- – Ethics and Accountability Guidelines: Frameworks for responsible AI use.
Certificate/accreditation and examination
1. The importance of certification:
- Journalists and content creators who work in various media outlets and want to keep up with technological developments.
2. The Exam:
- Journalists and content creators who work in various media outlets and want to keep up with technological developments.
3. Certificate and accreditation:
Attendance Testimonials
1. مقدمة عن التقنيات الحديثة في الإعلام:
- تعريف بالذكاء الاصطناعي والميتافيرس.
- أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.
Q&A
1. مقدمة عن التقنيات الحديثة في الإعلام:
- تعريف بالذكاء الاصطناعي والميتافيرس.
- أهمية تطبيقاتهم في مجالات الصحافة والإعلام والثقافة.
Registrations is Closed, please Watch the Recording or Contact us for another class
Evaluate to Obtain a Certificate of Attendance
التقييم انتهى ، نراكم في محاضرات أخرى
Ramy AlDamati
General Informations
- – Delivery Languages : Arabic or English.
- – Material Languages : Arabic or English.
- – Delivery Format: Inperson , or Self-teaching video lectures.
- – Access from any device and from anywhere.
- – Internationally recognized certificate of attendance.
- – CPE/CPD credits.
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Full Offering
Don't wait for opportunities - create them: Get a Full 360° CAIO Offering : These next steps provide attendees with a clear pathway to certification, practical tools for success, and continued professional development as Chief AI Overseer (CAIO)™.
Join Classroom
Attend live, interactive sessions either online or Recorded inperson for a collaborative learning experience. Sessions led by industry experts, offering opportunities for networking, hands-on exercises, and real-time discussions to deepen their understanding of AI governance and oversight.
Take the Exam
Ready to validate your skills and knowledge by taking the exam. This assessment ensures participants are equipped to lead AI initiatives effectively, covering governance, strategy, compliance, and project management.
Study Materials
Receive comprehensive study materials and CAIO Body of Knowledge (BoK)— a curated repository of essential concepts, frameworks, and tools in AI governance, strategy, and deployment. Resources are designed to reinforce learning and provide ongoing support throughout their professional journey.
vCAIO Services
Our Virtual Chief AI Overseer (CAIO)™ services provide a comprehensive solution for organizations seeking to integrate AI into their operations with expert leadership and minimal overhead. We offer strategic AI consulting tailored to your business needs, helping you design, implement, and manage AI-driven solutions.
CAIO Preparedness Tooling™
The CAIO Toolkit equips participants with practical resources to oversee AI initiatives. It includes templates for governance policies, risk assessment frameworks, compliance checklists, and tools for managing AI projects and teams. This toolkit ensures participants are prepared to apply their skills immediately within their organizations.
CAIO Knowledge Resources
The CAIO Knowledge Guides are a series of detailed, expert-authored documents that delve into specialized topics such as AI risk management, ethical AI practices, and regulatory compliance. These guides serve as valuable references, helping professionals stay informed and make informed decisions as they oversee AI initiatives.
Hire a CAIO
Hire an experienced Chief AI Overseer (CAIO)™. Outsource your AI leadership to an independent expert for top-tier AI strategy and guidance.
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Meet our Instructors
Ramy AlDamati
ServME ACADEMY
Noor Zahran
Nidal Talib
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