AI Risk, Automation, and Exploits

This unit synthesizes advanced topics in AI-driven deception and practical exploitation techniques, guiding students through ethical proof-of-concept development, browser automation, and containment strategies. Learners will build controlled simulations of credential harvesting and wire fraud while developing AI risk management plans, mitigation tactics, and proposals for global collaboration and governance.

Learning Objectives

• Analyze emerging threat vectors from artificial intelligence, brain-computer interfaces, and embodied systems to identify technical, social, and policy risks
• Apply browser emulation and automation techniques to design and execute controlled proof-of-concept simulations (Social Security Administration, credential harvesting, wire fraud) within legal and ethical boundaries
• Demonstrate tactical mitigation and incident-response strategies, including containment (‘stopping a runaway train’), AI risk management controls, and escalation procedures for complex deception scenarios
• Evaluate ethical, legal, and partnership-based solutions and produce a mitigation playbook that aligns technical controls with professional standards and international collaboration goals