HAIL Participatory Approaches in Data Brownbag Series
HAIL Participatory Approaches in Data Brownbag Series: Data Sharing Practices
Ideas
Establishing and Sharing Strategic Guidance for AI and Data Science Across the Academic Mission
Welcoming the Inaugural Cohort of HAIL Graduate Student Awardees
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.
2026 Data Science and AI Forum Best Poster Award Winners
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
What Pitt Students Actually Think About AI — And What It Means for Higher Education
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.
How Are Students Actually Using AI?
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.
Introduction to the Responsible Data Science Scholars Program
By: Emily Durning
What if students made their own decisions on AI?
By: Emily Durning
In your everyday life, how do you decide when to pull up ChatGPT to answer your question or help you with a task? This past December, Nora Mattern and I wanted to see how this cohort of RDS Scholars would navigate these decisions through the lens of responsible uses.
Can I use AI tools on this dataset?
By: Naveena Nagaraju (6/30/2025)
Understanding Data Licenses Before Using AI Tools
With many turning to tools like ChatGPT, Claude, or Gemini for analysis, writing, or generating data science insights, one concern that people should be thinking about is: “Can I upload this dataset?”