To AI or Not to AI - What the US Military Needs for Fighting Cyber Wars

Overview

Explore the potential and limitations of AI in cyber warfare, examining historical lessons and real-world applications for the US military's strategic decision-making.

Syllabus

• Introduction to Cyber Warfare
Definition and scope of cyber warfare
Overview of the US military's current capabilities in cyber domains
• Role of AI in Cyber Warfare
Fundamentals of artificial intelligence in cybersecurity
Key AI technologies and tools used in cyber defense and offense
• Historical Lessons in Cyber Warfare
Case studies of significant cyber conflicts
Analysis of past cyber warfare strategies and outcomes
• AI-Driven Cyber Defense Strategies
AI for threat detection and response
Machine learning and anomaly detection in network security
• Offensive Applications of AI in Cyber Warfare
Autonomous cyber weapons and operations
AI in cyber espionage and sabotage
• Limitations & Challenges of AI in Cyber Warfare
Ethical and legal considerations
Technical challenges, including adversarial attacks on AI systems
• Real-World Applications and Implications
Current projects and initiatives within the US military
Potential future scenarios and strategic considerations
• Decision-Making with AI in Military Strategy
Integrating AI into tactical and strategic decision processes
Balancing AI and human decision-making in high-stakes environments
• Conclusion
The future of AI in the US military's cyber operations
Summary of opportunities and risks in AI-driven cyber warfare
• Final Project/Assessment
Analyze a hypothetical scenario involving AI in cyber warfare
Develop a strategic recommendation for military decision-makers

Subjects

Conference Talks