Advanced Digital Leadership Opportunities for Current Students
At a recent lunch gathering hosted by HAIL (the Hub for AI and Data Science Leadership) and the Mascaro Center for Sustainable Innovation, this summer’s MCSI research cohort sat down with faculty advisors and industry-connected guests to share project updates and dig into one of the most pressing questions in higher education today: What does it mean to learn in the age of AI?
Kicking off our HAIL Graduate Awardees Spotlight Series, we have Rose Gatfield-Jeffries (she/her) from the History and Philosophy of Science Department within the Dietrich School of Arts and Sciences. Gatfield-Jeffries, who has spent three years at Pitt and is beginning her dissertation, is interested in the use of AI in scientific research. Specifically, she uses epistemological (differentiating between justified belief or opinion) and ethical lenses when analyzing this use.
Students: Akarshana Rajesh, Leila Pridotkas, Sanvi Gandikota, Julian Reinstein
Students: Emma Camps, Simon Fisher, Fernando Seanez
We are pleased to introduce the newest members of the HAIL Graduate Student Awardees Program!
Through this program, the following students have the opportunity to explore the questions: "What does responsible data and AI use and development entail in different disciplines or professions?" and "What individual actions can be taken to practice responsible data and AI use and development?"
More information about the program is available here.
We are proud to announce and showcase the Best Poster Award winners at the 2026 Pitt Data Science and AI Forum Student Poster Session. The presenters of the following posters were awarded a cash and merchandise prize. Congratulations to our award winners and all who submitted posters for a great poster session!
On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation — Abdulrahman Alhaidari
HAIL@Pitt hosted the Pitt Data Science and AI Forum on March 26-27. As part of the Day 1 program, a student poster session was conducted where selected students could present their research to a wider University audience. The posters presented are shown below in first-name alphabetical order.
With the DataSci+AI Forum on March 26–27 just around the corner, we've been thinking about what it means to build AI strategy that's grounded in real human experience. A study conducted last year, right here at the University of Pittsburgh offers a timely and provocative set of answers.
The headlines say students are cheating their way through college with AI. The data says it's more complicated.
Pitt's own Annette Vee — Associate Professor of English, Director of the Composition Program, and a leading researcher on AI and writing — recently synthesized findings from over ten major reports on student AI use, including her own original research with Pitt students. Here's what stands out.
