AI² Summit 2026: Shaping the Future of AI in Higher Education
Featuring a Fireside Chat with Chris Malachowsky, Co-Founder of NIVIDIA
Join us for the AI² Summit, the premier gathering of academic leaders, educators, education technologists, and innovators committed to transforming artificial intelligence education. This year’s summit will focus on strategic integration of AI across higher education institutions—from leadership to classroom applications.
Featured Speakers
Chris Malachowsky
Founder and NVIDIA Fellow
Chris Malachowsky is a co-founder of NVIDIA, the technology company established in 1993 that helped pioneer accelerated computing and modern artificial intelligence. Over more than three decades, he has played a central role in transforming NVIDIA from a startup focused on gaming and visual computing into a global leader whose innovations power breakthroughs in research, science, and medicine.
Before co-founding NVIDIA, Malachowsky held engineering roles at HP and Sun Microsystems. At NVIDIA, he led core technology initiatives spanning product engineering and research, helping advance the GPU into a foundational platform for high-performance computing and AI.
A proud alumnus of the University of Florida, Malachowsky earned his Bachelor of Science in Electrical Engineering with high honors before completing a Master of Science in Computer Science at Santa Clara University.
His enduring commitment to UF is embodied in Malachowsky Hall, a next-generation collaborative hub that brings together UF’s Herbert Wertheim College of Engineering, College of Medicine, and College of Pharmacy, dedicated to advancing AI research and educating the next generation of innovators.
An inventor with many patents and a member of the Florida Inventors Hall of Fame, Malachowsky has dedicated his career to pushing the boundaries of what computing can achieve—and to empowering engineers and students to do the same.
Talitha Washington, Ph.D.
Executive Director of the Center for Applied Data Science & Analytics (CADSA) – Howard University
Talitha Washington, Ph.D., a distinguished mathematician, serves as the Executive Director of the Center for Applied Data Science & Analytics (CADSA) at Howard University. A transformational leader, Dr. Washington guides CADSA’s direction in harnessing the power of data to address society’s most pressing challenges through groundbreaking research, expanded educational opportunities, and innovative advancements on a global scale. She holds the Sean McCleese Endowed Chair, is a Professor of Mathematics, and is the co-Chair of the President’s AI Advisory Council, which guides the university’s AI strategy across research, academic, and enterprise initiatives.
Dr. Washington serves as Principal Investigator of the U.S. National Science Foundation–funded Research Coordination Network on Assessing and Predicting Job Outcomes in AI, a national initiative focused on building a coordinated understanding of AI jobs, skills, and credentials to strengthen the nation’s AI workforce ecosystem. She also serves as the Past-President of the Association for Women in Mathematics and a former member of the Census Scientific Advisory Committee of the U.S. Census Bureau. Her research interests include applied mathematics, dynamical systems, nonstandard finite difference schemes, data science, artificial intelligence, and education.
An accomplished scholar and advocate for excellence, Dr. Washington has been recognized with numerous honors. She was elected to Phi Beta Kappa and Sigma Xi, as well as mathematics honor societies Kappa Mu Epsilon and Pi Mu Epsilon. Her accolades include the 2019 BEYA STEM Innovator Award, the 2019 Outstanding Faculty Award from Howard University, and the 2020 NSF Director’s Award for Superior Accomplishment. She is a Fellow of the African Scientific Institute (ASI), the American Mathematical Society (AMS), the Association for Women in Mathematics (AWM), and the American Association for the Advancement of Science (AAAS).
Dr. Washington’s professional journey reflects her commitment to advancing knowledge and equity in STEM. She was a VIGRE Research Associate in the Department of Mathematics at Duke University and served as the inaugural Director of the Atlanta University Center (AUC) Data Science Initiative and the NSF National Data Science Alliance. Her academic appointments include assistant professorships at The College of New Rochelle and the University of Evansville, and a full professorship at Clark Atlanta University. As a former Program Director at the National Science Foundation (NSF), she worked in the Convergence Accelerator within the Directorate for Technology, Innovation, and Partnerships (TIP) and in the Division of Undergraduate Education (DUE), where she led the development of NSF’s first Hispanic-Serving Institutions Program, coauthoring solicitations that awarded $85 million.
Dr. Washington’s educational foundation is as impressive as her professional achievements. After graduating early from Benjamin Bosse High School in Evansville, Indiana, she studied abroad in Juan Viñas, Costa Rica. She earned her undergraduate degree in mathematics from Spelman College, which included a semester abroad at the Universidad Autónoma de Guadalajara in Mexico. She later completed her master’s and doctoral degrees in mathematics at the University of Connecticut, which recently awarded her an honorary Doctorate of Science.
Dr. Washington shares a unique connection with Dr. Elbert Frank Cox, as both are mathematicians from Evansville, Indiana. Dr. Cox, the first African American to earn a Ph.D. in mathematics, was a faculty member at Howard University. Dr. Washington looks forward to honoring Dr. Cox’s legacy through her dedication to excellence, truth, and service.
What to Expect
The AI² Summit offers engaging topics and hands-on workshops designed to provide actionable insights and practical tools:
Building an AI University – Strategies for presidents, provosts, and leaders to embed AI institution-wide.
AI Across the Curriculum – Integrate AI literacy and applications into diverse academic programs.
Institutional AI Initiative Models & Approaches – Compare frameworks and best practices for scalable success.
Ethics & Policy – Challenges, successes, and the importance of developing responsible AI guidelines and governance frameworks.
Research & Evidence – Examine the latest findings on AI’s impact in teaching and learning.
AI Literacy Training – Fundamental AI workshops to build core AI knowledge and understand ethical considerations.
Classroom Applications – Enhance instruction with AI-powered solutions.
University Operations – Use of technology and AI tools such as digital twins, living laboratories, robotics, agentic AI to streamline institutional operations.
Technical Innovations – Explore agentic AI tutors, emerging technologies, and smart investment tools.
Cross-Institution Collaboration – Collaborations for successful initiatives and programs between leadership, faculty, instructional design, technologists, cross-team, or cross-campus collaborations.
K-12 Program Development – Create student programs, set standards, and collaborate with education departments.
Student AI Career Resources – How to equip students with tools, experiences, and guidance to pursue AI-related and AI- enabled careers through mentorship, internships, interdisciplinary programs, and industry partnerships.
Why Attend?
The AI² Summit is a collaborative space for visionaries shaping the future of education. Whether you’re an academic leader, faculty member, technologist, or policymaker, you’ll leave with strategies, tools, and partnerships to lead your institution confidently into the AI era.
Attendees will learn from:
Expert-led sessions that explore AI fundamentals, ethical considerations, and practical applications of AI in the classroom and beyond
Hands-on workshops where actionable tools and techniques are used to integrate AI into the curriculum
Collaborative networking among attendees who wish to be equipped with the knowledge and skills to stay ahead in a rapidly changing educational landscape
| Early Registration Fee (on or before February 9, 2026) | $375.00 |
|---|---|
| Registration Fee (after February 9, 2026) | $475.00 |
| Early Student Registration Fee (on or before February 9, 2026) | $275.00 |
| Student Registration Fee (after February 9, 2026) | $375.00 |
The conference is hosted by the University of Florida’s AI² Center, the leading institution in integrating AI across the curriculum.
Join us on March 29 – April 1, 2026, in Orlando at Wyndham Grand Bonnet Creek!







