Sessional Lecturer, INF2573H - Special Topics in UXD: Designing Human Agency in AI Systems
About The Position
This graduate-level studio course equips students to design user experiences for AI-native ecosystems, shifting the focus from traditional screen interfaces to dynamic socio-technical systems. Students will explore how humans and AI agents collaborate, learning to define boundaries for meaningful human control and map complex workflows. Emphasizing a method-first, tool-flexible approach, the curriculum focuses on hypothesis-driven experimentation, risk mitigation, and responsible AI governance. Operating on a pass/fail model, the course rewards rigorous testing, critical reflection, and evidence-based decision-making. Students will conclude by delivering a service concept that demonstrates safe, transparent, and auditable human-AI orchestration.
Requirements
- Completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course.
- Teaching experience is preferred.
Responsibilities
- Preparing course materials
- Delivering course content (e.g., seminars, lectures, and labs)
- Developing and administering course assignments, tests & exams
- Grading
- Holding regular office hours
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What This Job Offers
Career Level
Mid Level
