  Building AI agents can be costly. Consider a question answering agent such as
Jill Watson that automatically answers students' questions on the discussion
forums of online classes based on their syllabi and other course materials.
Training a Jill on the syllabus of a new online class can take a hundred hours
or more. Machine teaching - interactive teaching of an AI agent using synthetic
data sets - can reduce the training time because it combines the advantages of
knowledge-based AI, machine learning using large data sets, and interactive
human-in-loop training. We describe Agent Smith, an interactive machine
teaching agent that reduces the time taken to train a Jill for a new online
class by an order of magnitude.
