Length: 2 Days
The Certified AI Policy and Strategy Leader (CAPSL™) certification is designed for professionals involved in shaping and overseeing the integration of AI within national cyberspace policies and strategies. This certification emphasizes the strategic use of AI to enhance national security, addressing both the opportunities and threats AI presents in the cyber domain.
Objectives:
- To understand the strategic implications of AI in national security and cyberspace.
- To develop skills in formulating policies and strategies that leverage AI for national security.
- To ensure effective coordination and oversight of AI initiatives within the framework of national cyber policy.
- To evaluate and mitigate risks associated with AI in the context of national security.
Target Audience:
- Senior policymakers, strategists, and advisors in national security and cyber policy.
- Leaders in government agencies responsible for cybersecurity and AI integration.
- Executives in private sector organizations working on national security-related AI projects.
- Academics and researchers specializing in AI, cybersecurity, and national security policy.
Exam and Knowledge Domains
Exam Domains:
- AI and National Security: Opportunities and Challenges
- Development of AI-Enabled Cyber Policy and Strategy
- Coordination and Oversight Mechanisms for AI in Cyberspace
- Risk Assessment and Mitigation in AI-Related National Security
- Ethical and Legal Considerations in AI Policy for National Security
Number of Questions: 80
Type of Questions: Multiple-choice, essay-based questions, policy analysis, and case study simulations
Passing Grade: 75%
The CAPSL certification program would require candidates to have a comprehensive understanding of how AI impacts national security within the cyber domain and the ability to develop and oversee policies and strategies that effectively integrate AI technologies. This certification would combine theoretical knowledge with practical, real-world policy and strategy development exercises, ensuring that candidates are well-equipped to lead in this complex and evolving field.
Course Outlines:
Module 1: Introduction to AI Policy and Strategy
- Understanding AI Policy and Strategy
- Importance of AI Policy and Strategy
- Historical Perspectives on AI Policy
- Key Stakeholders in AI Policy and Strategy
- Ethical Considerations in AI Policy
- Future Trends in AI Policy and Strategy
Module 2: Fundamentals of Artificial Intelligence
- Introduction to Artificial Intelligence
- Types of Artificial Intelligence
- Applications of AI
- Ethical and Societal Implications of AI
- AI Development Lifecycle
- AI Governance Frameworks
Module 3: Policy and Regulatory Landscape in AI
- Global AI Policy Landscape
- National and Regional AI Policies
- Regulatory Challenges in AI
- Intellectual Property and AI
- Data Privacy and Security Regulations
- Standards and Interoperability in AI
Module 4: Strategic Planning for AI Adoption
- Strategic Planning for AI Adoption
- Assessing Organizational Readiness for AI
- Setting AI Objectives and Goals
- Developing AI Roadmaps
- Risk Management in AI Adoption
- Change Management in AI Implementation
Module 5: AI Governance and Oversight
- AI Governance Models
- Establishing AI Oversight Mechanisms
- Transparency and Accountability in AI
- Bias and Fairness in AI Systems
- Auditing and Evaluation of AI Systems
- Continual Improvement in AI Governance
Module 6: International Collaboration and Diplomacy in AI
- Importance of International Collaboration in AI
- Bilateral and Multilateral AI Agreements
- Role of International Organizations in AI Governance
- Addressing Global Challenges with AI
- Ethics and Human Rights in AI Diplomacy
- Future Directions in International AI Collaboration