Human-AI interaction sits at the intersection of human-computer interaction and artificial intelligence, and relate to psychology, communication, cognitive science, and design. In this course, we will focus on learning how to develop empirical understandings of humans' interactions with AI systems, and how to incorporate user-centered design principles to design AI systems that can enable effective interactions between people and the systems. This course starts with a brief review of fundamentals of human cognition and artificial intelligence, as well as a discussion of user-centered design lifecycle and general principles for designing human-AI interactions. Then, we will delve into a wide range of specific topics on human-AI interaction, including how to design explainable, trustworthy, fair and ethical AI systems, how to enable effective human-AI collaboration and teaming, and what new opportunities and challenges does the rise of large language models bring to human-AI interaction.

Course Logistics

  • Time:
    Monday 3:30-6:20pm

  • Location:
    LWSN 1106

  • Instructor:
    Ming Yin

  • Office Hour:
    By Appointment

Should I be interested?

This course should be of interests to you if you...

  • want to learn about the key human factors to keep in mind when designing human-facing AI systems.
  • want to explore the design of AI systems that people can trust and make effective use of.
  • want to gain a deeper understanding of the ethical and societal implications of AI.
  • are actively/interested in doing research on human-AI collaboration, human-centered AI, and human-LLM interaction.