To kick off the fall semester, the College of Architecture and Planning convened faculty, staff, and researchers for a forward-looking conversation on AI and the future of design education. The discussion examined emerging opportunities for teaching and research, the importance of responsible AI, and how diverse disciplinary perspectives can help shape the future of these technologies.
At the July AI at the U Forum, participants explored new AI programs, upcoming events, AI resources, the university's new Bachelor of Science in Artificial Intelligence degree, and emerging opportunities powered by Redtail, Utah's AI supercomputer. The forum highlighted the growing AI ecosystem at the University of Utah and ways for faculty, staff, students, and community members to get involved.
This fall, the AI Leadership Team launches the Crimson AI Challenge, inviting the university community to share impactful AI use cases across research, teaching and learning, and administrative operations. Selected participants will be recognized.
Utah educators recently came together at the University of Utah for hands-on professional development focused on artificial intelligence in teaching and learning. Through sessions led by AI education experts Matt Winters and Chris McCaffrey, participants explored AI literacy, responsible AI practices, and practical strategies for supporting student success. The event underscored the value of equipping educators with the knowledge and confidence needed to navigate an increasingly AI-enabled future. Read the full story.
Dr. Quentin T. Baldwin recently joined community leaders, educators, and workforce advocates as a panelist at the State of Black Utah Town Hall to discuss educational pathways, workforce readiness, and economic opportunity in an AI-enabled future. Drawing on his research at the University of Utah, Dr. Baldwin highlighted the importance of developing both AI-related skills and uniquely human capabilities such as critical thinking, ethical reasoning, collaboration, adaptability, and lifelong learning. The conversation underscored a key message: preparing for the future of AI requires not only technological innovation, but also investments in people, education, and responsible leadership.