Course Overview
Analyzes the integration of machine learning and autonomous systems in defence operations. Explores algorithmic confidence thresholds, sensor fusion, human-machine teaming, and strategic stability implications.
Syllabus & Core Modules
Module 01Machine Perception in Contested & Jammed Environments
Module 02Algorithmic Decision Support & Human-in-the-Loop Safeguards
Module 03Autonomous Swarm Architectures & Countermeasures
Module 04Treaty Frameworks, Norms & Verification Protocols
Prerequisites & Target Audience
Foundational background in national security or technical systems.
Course Specifications
Duration:10 weeks
Proficiency:Advanced
Instruction Desk:Emerging Tech Policy Unit
Format:Seminar modules, policy drafting workshops, and guest lectures