CS4333 Current Directions in Super Intelligence

A survey of current important topics in super 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 super-intelligence systems, privacy issues in super intelligence, and other legal issues in super intelligence.

Prerequisite

CS3310 or CS3331

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 super 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 super 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 super intelligence in countries, businesses, and organizations.
Be able to identify in applications the key current challenges to applying super 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 super intelligence including trust in it, workforce development, testability, explanatory capabilities, bias, responsibility for autonomous actions, other legal issues, and ethics.