I’ve been working on a new book: Big Data. Big Design: Why Designers Should Care about A.I. You can preorder now. It will be on shelves in October 2021. What
Here is a two part lecture series to initiate a discussion of machine learning with your design students. I’m happy to lead a Q&A followup if you contact me. Please
Who’s Afraid of Machine Learning? This semester I created a set of cards to help design students explore the potential functionality of machine learning, while considering the ethical implications of
What Role Might Machine Learning Ethically Play in Retail Spaces? Last spring, grad students in the Master’s in Graphic Design Program at North Carolina State University partnered with an auto
As decisions become increasingly data-driven, the ability to interrogate data is emerging as a key skill for self-advocacy. Unfortunately, marginalized communities most heavy impacted by algorithmic decision making are often
How can the design of an intelligent interface empower patients to access secure personal data repositories, thus giving patients agency over their own medical data? Over the course of the
How can we use computation to augment our mental abilities? This was Vannevar Bush’s query in 1945 when he wrote “As We May Think.” Two of his ideas: the Memex: (also
The AIGA Design Educators Community (DEC) set aside time during the fall to collect data around the needs of design educators and better articulate the value proposition of the DEC.
What’s machine learning and what can designers do with it? The NCSU 1st year Masters of Graphic Design Studio took on just this question over the course of the semester.
Last week I lead a UX design workshop with the University of Georgia’s Graphic Design Program. We explored what it means to apply UX methods to understand user needs and