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Overview • Schedule • References • Office Hours • Team Project

Overview

Human-AI Interaction is an interdisciplinary area of computing concerned with interactivity in intelligent systems. This course serves as an introduction to the design and development of human-centered AI systems. Topics covered include interaction design, agency and intiative, rationality, trust and transparency, human augmentation and amplification, and interpretability.

Schedule

Note: This schedule is subject to change.

Week	Date	Topic	Readings	Announcements
1	Jan 21	Introduction
2	Jan 26	Machine Intelligence I
	Jan 28	Machine Intelligence II
3	Feb 2	Interfaces and Interaction
	Feb 4	Human-AI Interaction
...	...	...
15	Apr 27	The Future of HAI

References

This course will make periodic reference to the following references and textbooks.

Primary Textbook References (All Optional)

• [SM] S. MacKenzie. Human-Computer Interaction: An Empirical Perspective. 2013.
• [HS] H. Simon. The Sciences of the Artificial, 3rd Edition. 1996.
• [WF] T Winograd and F. Flores. Understanding Computers and Cognition. 1986.

Publicly-Avaiable Textbook References

• [CM] C. Molnar. Interpretable Machine Learning. 2020.
• [SB] S. Barocas, M. Hardt, and A. Narayanan. Fairness and Machine Learning. 2020.
• [HD] H. Daume III. A Course in Machine Learning. (In Progress)
• [BS] B. Settles. Active Learning. 2012.
• [RS] R. Sutton and A. Barto. Reinforcement Learning: An Introduction. 2018.
• [IG] I. Goodfellow, Y. Bengio, and A. Courville. Deep Learning. 2016.