Problem Definition, Business Case, and Responsible Development

1.5 credits · College of Connected Computing - Professional

The “before you build” discipline for AI initiatives. Problem decomposition and scope definition; metrics development and baseline establishment; ROI calculation and cost-benefit analysis; failure mode identification and risk assessment; bias and fairness considerations in solution design; governance documentation from project inception; determining when AI is—and is not—the right solution. Students develop complete, responsibly scoped business cases for AI initiatives. Synchronous online with asynchronous components. [1.5]