Skip to content

The National Deep Inference Fabric Advisory Board

PIT-UN members to guide NSF-funded AI research project

October 10, 2024

Powerful large-scale artificial intelligence (AI) systems such as large language models (LLMs) are quickly reshaping essential systems, from healthcare to education, business and politics – but we have little to no understanding of how or why LLM’s make their predictions.

The National Deep Inference Fabric (NDIF) will enable researchers and students to perform transparent and reproducible experiments on large-scale AI systems, providing much-needed visibility into their inner workings.

An interdisciplinary Advisory Board of PIT-UN members will provide ongoing feedback and guidance to NDIF’s leadership and engineers, helping to ensure the project aligns with ethical, responsible, and inclusive AI practices.

Learn more about NDIF here.

Meet the Advisory Group Members

Kelsey Badger

Research Data Librarian, The Ohio State University

Kelsey Badger leads library initiatives for access, management, and stewardship of research data, whether it is produced by Ohio State campus researchers, licensed or acquired by the library, or openly available online. She specializes in practices that support scientific reproducibility and transparency, including federal funder requirements for data management and sharing. 

Timothy Beal

Distinguished University Professor, Case Western Reserve University

Timothy Beal is Distinguished University Professor, Florence Harkness Professor of Religion, and Director of h.lab and the Experimental Humanities initiative at Case Western Reserve University. Projects include “Finite Futures: Imagining Alternative Ways Forward in the Anthropocene” (Henry Luce Foundation), and “Responsible AI Curricular Design” (National Humanities Center). The recipient of a Public Scholar Award from the NEH, he has published sixteen books.

Jonelle Bradshaw de Hernandez

Research Associate, Texas Advanced Computational Center, University of Texas at Austin

Dr. Jonelle Bradshaw de Hernandez is a researcher and public speaker who focuses on societal impacts of scientific and innovation technologies. Her interdisciplinary work stems from her PhD in Engineering, Technology and Society where she studied the fields outcomes  in education, national economy and vulnerable populations. She couples her academic work with 15+ years as an executive in higher education. She intersects her current AI work in the areas of workforce and economic development, efficient philanthropy, education and most recently high performance computing and cybersecurity.

Kathleen M. Cumiskey

Director and Professor, CUNY PIT Lab, City University of New York

Rev. Dr. Kathleen (Katie) M. Cumiskey, Professor of Psychology at the City University of New York, is known for her research on mobile media and the evolving relationship between technology and profound human experiences. She is the Co-PI on an NSF award leveraging blockchain technology to enhance student retention.  A founding member of the Public Interest Technology University Network, Dr. Cumiskey is the director of the CUNY PIT Lab. 

Katina Michael

Honorary Professor, The University of Wollongong

Katina Michael an Honorary Professor at the University of Wollongong, a Professor with Arizona State University, and a Senior Global Futures Scientist with the Global Futures Laboratory. At ASU, she has a joint appointment with the School for the Future of Innovation in Society and School of Computing and Augmented Intelligence. Katina was the inaugural chair of the first ever Public Interest Technology full curriculum in the Masters of Science degree in 2020.

Michael Simeone

Associate Research Professor, Arizona State University

Dr. Michael Simeone is an Associate Research Professor at ASU’s School for Complex Adaptive Systems. He is an interdisciplinary researcher who bridges data science to humanistic and social methodological considerations. He specializes in applying machine learning to cultural and sociotechnical systems, as well as understanding how people make meaning in immersive information environments. His work also integrates computational techniques with a focus on ethical considerations and the epistemological foundations of interdisciplinary research.

Prem M. Trivedi

Policy Director, Open Technology Institute at New America

Prem M. Trivedi is the Policy Director of New America’s Open Technology Institute. He leads OTI’s research and advocacy efforts to improve outcomes in technology policy by prioritizing fairness, equity, and meaningful transparency in governance. He is also an Adjunct Professor at Georgetown University’s School of Foreign Service and a non-resident Senior Fellow at American University’s Tech, Law & Security Program.