التقنية : الميتافيرس
- AR Version
- Pathway: AI Literacy Core
الإلمام المهني بالذكاء الاصطناعي للدفاع والأمن ™
AI Literacy for Defense & Security (AILC-DS)™ Workshop | Pathway Mandatory
( Mandatory Foundational Track for AI Defense and Security Supremacy™ Pathways)
AILC-DS™ builds foundational AI literacy for defense and security professionals to responsibly understand, govern, and oversee AI use in high-stakes national security environments.
- Last updated : January 4, 2026
- 4.721 students
About the Workshop
AI Literacy for Defense & Security™ (AILC-DS™) is the mandatory foundational AI literacy course for the AI Defense and Security Supremacy™ Pathways.
It prepares defense professionals to understand how artificial intelligence affects strategy, command, operations, legal boundaries, escalation, and accountability before entering role-specific tracks.
This workshop introduces defense-grade AI concepts at a literacy level, focusing on decision authority, risk, sovereignty, and responsibility, not weapons engineering, tactical execution, or classified procedures.
AILC-DS™ ensures participants are cognitively and ethically prepared before advancing to DASO™, DAOO™, DTAE™, DALE™, and DAIO™.
The course is designed for those interested in the design, implementation and responsible use of artificial intelligence systems and products within their organization.
- – Defense and security professionals involved in AI-enabled environments
- – Strategic planners and national security advisors
- – Command and operations officers overseeing AI-assisted systems
- – Defense engineers and technical leaders (pre-technical literacy)
- – Legal, policy, and compliance professionals in defense contexts
- – Government and sovereign security stakeholders
- – Defense AI Strategic Officer (DASO™)
- – Defense AI Operations Officer (DAOO™)
- – Defense Technical AI Engineer (DTAE™)
- – Defense AI Legal Expert (DALE™)
- – Defense AI Officer (DAIO™)
- – How AI changes defense strategy, command, and decision authority
- – Where AI introduces escalation, miscalculation, and sovereignty risks
- – How AI affects command-and-control structures conceptually
- – Why AI failures in defense contexts have irreversible consequences
- – How legal, ethical, and accountability boundaries apply to defense AI
- – How to recognize AI-enabled defense threats at a high level
- ✓ Avoid introducing AI into defense environments without understanding escalation risk
- ✓ Gain confidence to question AI-assisted recommendations in command contexts
- ✓ Reduce strategic, legal, and reputational exposure caused by AI misuse
- ✓ Understand where human authority must remain absolute
- ✓ Prepare responsibly for advanced defense AI pathways and roles
- – Defense AI Literacy: Understand AI behavior in defense and security environments
- – Strategic Risk Awareness: Recognize AI-driven strategic and operational risks
- – Command Oversight Judgment: Know when AI must inform vs decide
- – Accountability Awareness: Understand responsibility and escalation in AI-assisted defense actions
- – Defense Security Awareness: Identify AI-enabled threat patterns at a conceptual level
- ✓ AI in Defense & National Security: Understanding how AI is used in defense, intelligence, and security contexts.
- ✓ AI, Strategy & Command Authority: How AI influences strategic planning, command decisions, and escalation pathways.
- ✓ Conceptual Defense AI Architecture: High-level view of defense AI systems, data flows, and decision loops (no code).
- ✓ Defense AI Risk & Failure Modes: Awareness of miscalculation, automation bias, and unintended consequences.
- ✓ AI-Enabled Threat Awareness: Understanding adversarial use of AI in defense and security environments.
- ✓ Legal, Ethical & Sovereignty Boundaries: Rules of engagement, accountability, and lawful AI use in defense.
- ✓ Defense AI Literacy: Explain AI’s role and limitations in defense and security systems.
- ✓ Strategic & Operational Risk Awareness: Identify AI-driven risks affecting national security and stability.
- ✓ Command & Control Judgment: Understand when human authority must override AI recommendations.
- ✓ Legal & Accountability Awareness: Recognize legal, ethical, and command responsibility in AI-assisted actions.
- ✓ Defense Pathway Readiness: Enter advanced Defense AI roles without foundational gaps.
- ✓ Responsible AI principles in defense and security
- ✓ International discussions on military AI governance (awareness level)
- ✓ AI risk management concepts for high-stakes environments
- ✓ Human-in-command and human-on-the-loop doctrines
- ✓ Defense AI ethics and accountability best practices
- ✓ Optional & Recommended: Pass the Certificate : AI Literacy Core – AILC™
- ✓ Professional experience in defense, security, government, or related domains
- ✓ Familiarity with command, operations, policy, or technical defense environments
- ✓ No AI, coding, or engineering background required
- – Course Students Study Notes – Online version Only
- – AI-security literacy reference guides
- – Certificate of completion upon passing assessment
Service Guide
1. Implementation Manual
- Step-by-step instructions on how to implement the ISO/IEC 42001 standard.
- Detailed processes, templates, and best practices.
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
To establish a shared understanding of how AI is used in defense and why it fundamentally changes risk and responsibility.
Topics & Sub-Topics
AI in defense vs civilian contexts
Why defense AI is different
Decision authority and responsibility
Strategic consequences of AI failure
Purpose
To explain how AI influences strategic planning and national security decisions.
Topics & Sub-Topics
AI-assisted strategic analysis
Automation bias in strategic contexts
AI recommendations vs human judgment
Escalation and misinterpretation risks
Purpose
To introduce how AI interacts with command-and-control structures at a conceptual level.
Topics & Sub-Topics
AI in C2 environments (high-level)
Decision loops and authority boundaries
Human-in-command principles
Loss-of-control scenarios
Purpose
To provide literacy-level understanding of defense AI system structures.
Topics & Sub-Topics
Data sources and intelligence inputs
AI models and decision layers
Integration with operational systems
Trust and verification challenges
Purpose
To identify how AI can fail catastrophically in defense environments.
Topics & Sub-Topics
Miscalculation and false confidence
Automation bias and over-reliance
Cascading failures and escalation
Human override requirements
Purpose
To build awareness of adversarial use of AI in defense and security.
Topics & Sub-Topics
AI-enabled deception and misinformation
Autonomous and semi-autonomous threats
AI in cyber-physical conflict contexts
Threat awareness without tactics
Purpose
To clarify lawful and ethical limits of AI use in defense.
Topics & Sub-Topics
Accountability and responsibility in defense AI
Legal constraints and rules of engagement
Ethics, proportionality, and human judgment
Sovereignty and national control
Purpose
To validate defense AI literacy, judgment, and readiness.
Topics & Sub-Topics
Scenario-based defense AI decision cases
Strategic and operational risk identification
Legal and escalation judgment questions
Certification readiness for Defense AI pathways
Successful completion of AILC-DS™ enables entry into:
- DASO™ – Defense AI Strategic Officer
- DAOO™ – Defense AI Operations Officer
- DTAE™ – Defense Technical AI Engineer
- DALE™ – Defense AI Legal Expert
- DAIO™ – Defense AI Officer
AILC-DS™ ensures defense professionals understand AI’s strategic, operational, and legal impact before it influences command or security decisions.
- – Defense AI Literacy Map : Visual framework explaining how AI supports strategy, command, and operations.
- – Command Authority & AI Decision Boundary Matrix: Tool to clarify where AI may inform decisions and where human authority is absolute.
- – Defense AI Risk Awareness Matrix: High-level matrix identifying strategic, operational, legal, and reputational risks.
- – AI Escalation & Override Checklist (Defense Context): Practical checklist defining when AI outputs must be questioned or overridden.
- – Defense AI Accountability Map: Clarifies responsibility across command, operations, legal, and leadership roles.
- – AI-Enabled Threat Awareness Brief : Non-tactical overview of how adversaries may use AI in defense contexts.
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.
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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Plan Your Next Steps
These next steps provide Customers with a clear pathway to certification, practical tools for success, and continued professional development.
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 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 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.
AI Literacy Preparedness Tooling™
The DASO 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.
AI Literacy Knowledge Resources
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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Meet our Instructors
Ramy AlDamati
ServME ACADEMY
Noor Zahran
Nidal Talib
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