Keeping People and Society Safe: Using AI for Situational Awareness

Overview

Explore how AI enhances situational awareness in defense systems, focusing on using LLMs to efficiently process ship transponder data for security applications like smuggler identification.

Syllabus

• Introduction to Situational Awareness and AI
Definition of situational awareness
Role of AI in enhancing situational awareness
Overview of defense systems using AI
• Fundamentals of AI and Machine Learning
Introduction to AI and machine learning concepts
Overview of large language models (LLMs)
Applications of LLMs in data processing
• Understanding Ship Transponder Data
Types of transponder data
Importance of AIS data in maritime security
Challenges in processing and analyzing transponder data
• Leveraging LLMs for Data Processing
Using LLMs for natural language processing tasks
Techniques for efficient data parsing with LLMs
Case studies: Successful implementations of LLMs in security applications
• Designing AI Systems for Smuggler Identification
Identifying key indicators of smuggling activities
Application of AI models to detect anomalies
Integrating LLMs in automated detection systems
• Ethical and Privacy Considerations
Understanding the ethical implications of using AI in surveillance
Balancing security and privacy
Regulations and compliance in maritime security
• Advanced Topics in AI and Situational Awareness
Future trends in AI for defense applications
Emerging technologies enhancing situational awareness
The role of human oversight in AI-enhanced systems
• Practical Applications and Case Studies
Real-world scenarios of AI in maritime security
Lessons learned from past implementations
Interactive workshop: Simulating an AI-driven situational awareness system
• Conclusion and Future Outlook
Summarizing key takeaways
The future potential of AI in keeping society safe
Q&A and discussion on course topics
• Resources and Further Reading
Recommended books and articles
Online resources and tools
Networking opportunities with industry professionals

Subjects

Computer Science