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.
Workforce
Adapt Our Regional Economy to Thrive in the Age of AI
A Responsible AI Reality Check: Moving Beyond the Hype
By: Kendra Oliver, Ph.D., M.P.S.
HAIL Participatory Approaches in Data Brownbag Series
By: Emily Durning
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?”
Pitt’s new AI hub aims to make artificial intelligence practical for students and their careers
The University of Pittsburgh’s strategy surrounding artificial intelligence will be practical, supporting students and the workforce, said Michael Colaresi, newly named director of the academic Hub for AI and Data Science Leadership.
AIRET 2025 - The First International Workshop on Agentic Intelligence: Risks, Ethics, and Trust
To address these critical issues, leading researchers and practitioners will convene at AIRET 2025 - The First International Workshop on Agentic Intelligence: Risks, Ethics, and Trust, taking place November 11, 2025, in Pittsburgh. AIRET 2025 will bring together experts from artificial intelligence, philosophy, law, cybersecurity, and policy to examine how agentic AI systems are reshaping the technological and ethical landscape.
The AI Revolution at Work: How Employees are Actually Using Generative AI Tools
The following was written by RDS student worker Anna Sheppard.
The buzz around artificial intelligence is no longer just boardroom discussions or tech conferences. Today, AI tools are revolutionizing how millions of people tackle their daily tasks as simple as drafting emails and as advanced as analyzing complex data.
Carnegie HERO Project Overview
The following was written by RDS student worker Devon Smith.
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