Skip to main content

INSA 451 Advanced AI Applications in Intelligence Operations

This course explores the transformative role of artificial intelligence (AI), focusing on generative AI, in modern intelligence operations. Students will examine how AI technologies synthesize data, automate reporting, and assist in predictive analysis to enhance intelligence assessments and operations. Topics include advanced applications of machine learning, natural language processing (NLP), and deep learning, alongside their use in creating realistic simulations for training, translating languages, decrypting communications, and generating unbiased analytical products. The course emphasizes AI's technological and ethical dimensions, preparing students to apply these tools in national security and intelligence agencies. Through hands-on projects and real-world case studies, students will learn to produce actionable intelligence insights, address ethical and operational challenges, and understand the strategic implications of AI in shaping global intelligence landscapes. This course is designed to build advanced expertise in AI¿s application across intelligence workflows while fostering critical thinking about its societal and geopolitical impacts.
4 Undergraduate credits

Effective January 10, 2025 to present

Learning outcomes

General

  • Evaluate the transformative role of generative and traditional AI in intelligence workflows, including data synthesis, reporting automation, and predictive analysis.
  • Design and Implement AI-driven solutions to address complex intelligence challenges.
  • Analyze and Synthesize AI methodologies to generate unbiased and actionable intelligence products.
  • Assess AI's ethical, legal, and societal implications in intelligence operations, particularly in addressing bias, privacy, and security concerns.
  • Analyze real-world case studies to extract lessons learned and best practices in AI applications within intelligence operations.
  • Apply AI tools to analyze real-world intelligence challenges while effectively communicating findings through reporting and presentations.