التقنية : الميتافيرس
- AR Version
- Tech : Intelligence / GRC Course
الرئيس التنفيذي لإمتثال الذكاء الاصطناعي™
AI Compliance Overseer (AICO)™ Workshop
Equip AI compliance leaders with the knowledge and tools to oversee, implement, and ensure adherence to global AI regulatory frameworks using the LEAP-GDC methodology.
- Last updated : January 27, 2025
- 4.721 students
About the Workshop
This program is designed to empower professionals with the expertise to manage and oversee compliance within AI systems. The training integrates knowledge of AI regulations, ethics, risk mitigation, and compliance management, ensuring participants can implement and monitor AI systems effectively. Through hands-on labs and the LEAP-GDC framework, participants will gain practical skills to address the challenges of regulatory adherence in AI-driven environments.
The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.
- – Compliance officers and managers working with AI technologies.
- – AI strategists and professionals responsible for regulatory adherence.
- – Legal and risk management professionals specializing in technology.
- – Executives tasked with overseeing AI compliance initiatives.
- – AI Compliance Overseer (AICO)
- – AI Regulatory Manager
- – AI Compliance Consultant
- – Risk and Compliance Officer
- – AI Policy and Ethics Advisor
- – Chief Compliance Officer
- – Master AI compliance frameworks like ISO 42001, GDPR, and the EU AI Act.
- – Develop and implement AI compliance policies and practices.
- – Identify and mitigate compliance risks in AI systems.
- – Align AI technologies with ethical and legal standards.
- – Oversee and audit AI systems for regulatory adherence.
- – Gain practical expertise in AI compliance tailored to your role.
- – Learn directly from industry experts in AI governance and compliance.
- – Obtain actionable tools and templates for immediate application.
- – Validate your skills with a globally recognized certification.
- – Understanding and implementing global AI compliance frameworks.
- – Identifying compliance risks and ensuring adherence to AI regulations.
- – Developing organizational compliance policies for AI systems.
- – Ensuring ethical AI development and operational transparency.
- – Conducting audits and preparing AI systems for regulatory reviews.
1. AI Compliance Fundamentals
- – Understanding key compliance principles and frameworks.
2. AI Risk and Regulatory Alignment
- – Identifying, assessing, and mitigating compliance risks.
3. Compliance with Global Standards
- – Policy Development and Implementation
4. AI Audits and Monitoring
- – Managing regulatory reviews and ensuring ongoing compliance.
5. Ethics in AI Compliance
- – Integrating ethical principles into compliance processes.
1. Design and Execute AI Audit Workflows
- – Proficiency in ISO 42001, GDPR, EU AI Act, and similar standards.
2. Risk Mitigation Expertise
- – Skill in identifying and addressing compliance risks.
3. Policy Development and Implementation
- – Ability to draft, implement, and enforce AI compliance policies.
4. Audit Preparedness
- – Expertise in preparing AI systems for regulatory audits and reviews.
5. Cross-Functional Collaboration
- – Ability to coordinate with legal, IT, and operational teams.
- – Basic understanding of AI systems and technology.
- – Experience in compliance, governance, or legal roles is recommended but not mandatory.
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. Certification preparation guides and practice exercises.
- 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.
- Course Introduction
- Certificate Introduction & Exam Details.
Purpose: Build foundational and advanced knowledge of AI compliance and regulatory adherence.
Module 1: Understanding AI
1.1 Overview of AI Compliance Frameworks: ISO 42001, GDPR, EU AI Act.
1.2 Basics of AI Ethics, Privacy, and Transparency.
1.3 Compliance Trends in AI and Emerging Legal Challenges.
1.4 Understanding the AI Compliance Lifecycle.
1.5 Role of AI in Organizational Risk Management and Governance.
1.6 Exploring Case Studies in AI Compliance Failures and Best Practices.
Purpose: Enable participants to design and implement compliance processes within AI systems.
Module 2: Developing AI Compliance Processes
2.1 Developing AI Compliance Roadmaps.
2.2 Building Data Governance Models for Compliance.
2.3 Aligning Compliance Goals with Business Objectives.
2.4 Integrating Ethical Principles into AI Development.
2.5 Implementing AI-Powered Compliance Monitoring Tools.
Purpose: Validate compliance processes through testing, audits, and risk assessments.
Module 3: Compliance Validation and Risk Mitigation
3.1 Conducting Compliance Audits for AI Systems.
3.2 Testing AI Systems for Legal and Ethical Adherence.
3.3 Simulating Compliance Failures and Recovery Plans.
3.4 Identifying and Addressing Gaps in AI Compliance.
3.5 Performing Risk Assessments and Mitigation Strategies.
Purpose: Prepare organizations to scale compliance capabilities effectively.
Module 4: Strategic Compliance Planning
4.1 Evaluating Organizational Compliance Maturity.
4.2 Creating Long-Term Compliance Strategies for AI Systems.
4.3 Enabling Teams with Compliance Knowledge Repositories.
4.4 Defining Key Compliance Performance Indicators.
4.5 Building Organizational Alignment for Compliance Objectives.
Purpose: Establish governance structures to oversee compliance operations.
Module 5: AI Governance Frameworks
5.1 Building AI Compliance Boards and Committees.
5.2 Defining Roles and Responsibilities for Compliance Oversight.
5.3 Ensuring Data Sovereignty and Security in Compliance Operations.
5.4 Managing Compliance Risks Across Cross-Functional Teams.
5.5 Strengthening Organizational Transparency in Compliance Operations.
Purpose: Implement and monitor compliance frameworks for sustained adherence.
Module 6: Deploying and Monitoring AI Compliance
6.1 Deployment of AI Compliance Frameworks.
6.2 Continuous Monitoring and Reporting for Regulatory Adherence.
6.3 Leveraging AI Tools for Compliance Automation.
6.4 Addressing Deployment Challenges in Compliance-Heavy Industries.
6.5 Creating Feedback Loops for Continuous Improvement in Compliance.
Purpose: Validate participants’ expertise through rigorous evaluation and certification.
Module 7: Certification Preparation and Validation
7.1 Key Compliance Concepts Review.
7.2 Certification Preparation and Exam Readiness.
7.3 Practical Application of Compliance Frameworks.
7.4 Developing and Presenting AI Compliance Implementation Plans.
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
- – Compliance Policies: Templates for AI compliance governance.
- – Risk Assessment Frameworks: Tools to identify and mitigate compliance risks.
- – Compliance Checklists: Guidelines for ensuring regulatory adherence.
- – Audit Preparation Templates: Resources for managing AI audits.
- – Monitoring Tools: Frameworks for continuous compliance tracking.
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
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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Plan Your Next Steps
Get a Full 360° ISO/IEC 42001 & AI Auditing Offering : These next steps provide Customers with a clear pathway to certification, practical tools for success, and continued professional development as Chief AI Auditor (CAIA)™.
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
Attendees who complete the program exam successfully will earn the prestigious AI Compliance Overseer (AICO)™ certification. This globally recognized credential validates their expertise in AI governance, strategic oversight, and implementation. Achieving this certification demonstrates a professional's ability to lead AI initiatives ethically and effectively, and alignment with organizational objectives.
Study Materials
Receive comprehensive study materials and AICO 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.
ISO 42001 Services
To implement an AIMS, you will need a solid understanding of ISO/IEC 42001's requirements. We have training to provide the required knowledge. Once the system is in place, we can offer a gap assessment. After the successful completion of an audit, we will issue your certificate, confirming the effective implementation of the standard's requirements. An audit against ISO/IEC 42001 from us will help your organization to stand out from the crowd by supporting you to develop and improve performance.
AICO Preparedness Tooling™
The AICO Toolkit equips Professionals 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 Professionals are prepared to apply their skills immediately within their organizations.
AICO Knowledge Resources
The AICO 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.
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