SYDE 321Introduction to Responsible Artificial Intelligence Systems

The objective of this course is to introduce students to fundamental concepts of artificial intelligence. An overview of different learning schemes will be provided, including supervised and unsupervised algorithms. The course will review some data science methods (dimensionality reduction, clustering, classification, Markov decision processes). The focus will be on the development of deep and shallow neural networks and their application in solving engineering problems, which also includes data curation and training procedures. The context of the course will be on the responsible development and deployment of AI systems, including their limitations, risk minimization and management, ethical considerations, reliability, robustness, scalability, and sustainability.