Artificial Intelligence can and must be guided by human concerns. The course I co-developed examined how mental models and user models of AI systems are formed, and how that leads to user expectations. This informs a set of design guidelines for building AI systems that are trustworthy, understandable, fair, and beneficial. The course covered the impact of AI systems on the economy and everyday life, and ethical issues of collecting data and running systems, including respect for persons, beneficence, fairness and justice.

"Needfinding" focused on design research and design planning. The premise of the class was that by studying the world around us, we can get a better understanding of what people need, and use those insights to create meaningful new products and services. I helped students develop proficiency in research and planning through a combination of in-class activities, readings on theory and real world projects. Emphasis was on developing the flexible thinking skills that enable the designer to navigate the future. 

Leveraging foundational design principles, project-based individual and group exploration and critique facilitated a self-guided learning process where analytical problem-solving approaches are cultivated and shared through real-time implementation via contemporary digital tools. This class emphasized strengthening students' visual storytelling abilities and selecting the appropriate tools to tell the tale. A series of diverse, rapid projects were brought together with an eye to related student project portfolio development.