The University of Washington will launch an interdisciplinary AI minor in Spring 2027, combining technical training with ethics and critical thinking across 18 academic units from Architecture to Nursing.
The program prioritizes societal impacts alongside coding skills. Co-chaired by computer science professor Magda Balazinska and anthropology professor Ben Marwick, the curriculum ensures students can "study a field they are passionate about, and also understand AI and how it relates to that field of study," according to Balazinska.
Four pillars structure the curriculum. Students must complete at least one course on AI ethics, implications, and limitations; core technical courses on predictive models and generative AI; a capstone project applying AI to their discipline while comparing it to traditional methods; and electives tailored to specific interests.
Universities are racing to meet employer demand. A recent survey found 53% of employers struggle to find graduates with adequate AI skills. Cornell launched an AI minor in Fall 2024, while Northeastern, Michigan, Virginia Tech, and Syracuse already offer similar interdisciplinary programs emphasizing literacy and critical evaluation.
The minor is part of a $10 million AI@UW initiative funded by Microsoft pioneer Charles Simonyi, coordinating AI efforts across research and teaching. The university also secured $2.2 million over two years from Amazon's AI PhD Fellowship program and expanded its Microsoft partnership for computing resources and internships.
Mandatory AI literacy may become standard. A university task force recommended every first-year student complete a basic AI literacy module similar to Title IX requirements. Within five years, UW aims for more than 10% of faculty to have AI expertise. Read more: Google's AI Education Vision: Promise and Peril.
