This seminar brings together psychology and design graduate students to investigate the newly emerging forms of interaction with automated intelligent systems that are transforming society. How can we theorize and understand the range of different interactions that are developing across so many different arenas, from self-checkout in grocery stores to interactions with corporate chatbots to the varied new uses of large language models and developments in prompt engineering? How can what is known about in-person and mediated human-human interactions in different arenas and with different kinds of partners inform our thinking about human-AI interactions? How might interaction with AI affect human-human interactions? Class sessions will combine discussion of academic articles with practical examples and analyses of student-led data collection from class members’ collaboration with colleagues with quite different backgrounds and expertise. Over the course of the semester, psychology and design students will carry out hands-on collaborative projects that can help build portfolios demonstrating students’ expertise in forward-thinking cross-disciplinary work. Students are only expected to have background knowledge from their own discipline; design students are not expected to have any psychology expertise, and psychology students are not expected to have any coding or design expertise. This course counts as an elective for the Applied Psychology and Design degree path. **Psychology students should already have taken a graduate-level Research Methods course, or Intro to Applied Psychology and Design, or Intro to Statistics and Research Design. Design students should be able to bring proficiency in their design discipline to project-based work in the course.** The course counts as an elective and satisfies the seminar requirement for the Psychology PhD programs; it can count as an elective for different graduate design programs pending approval from their degree program advisors.