CS4333 Current Directions in Artificial Intelligence

A survey of current important topics in artificial intelligence for students who are not computer-science majors. Topics include big-data management, advanced topics in neural networks, adversarial machine learning, explainability, testing and verification of artificial-intelligence systems, privacy issues in artificial intelligence, and other legal issues in artificial intelligence.

Prerequisite

CS4000, CS3331 and CS3332

Lecture Hours

Lab Hours

Course Learning Outcomes

Upon completion of this course the student is expected to:

Be able to identify and discuss key current trends in artificial intelligence for military use including research areas and policy issues, and be familiar with current laws and policies that apply.
Be able to identify the key domains and technologies in applying artificial intelligence to military activity, such as autonomous systems, sensor and surveillance systems, cyberdefense, automated deception, wargaming, and generative methods.
Be able to enumerate the key players in military artificial intelligence in countries, businesses, and organizations.
Be able to identify in applications the key current challenges to applying artificial intelligence to military applications, including obtaining data, getting sufficient processing speed and storage, verifying correctness, and anticipating adversary manipulations.
Be able to identify important social issues in using military artificial intelligence including trust in it, workforce development, testability, explanatory capabilities, bias, responsibility for autonomous actions, other legal issues, and ethics.