IIAI Research Program Faculty

Jason Clark, Professor MSU Library

Program Co-Lead

Research interests include Semantic Web development, digital library development, metadata and data modeling, web services and APIs, search engine optimization, and interface design. Recent work has focused on algorithmic literacy and machine UX - how bots and AI create particular types of user experiences and knowledge patterns.

Kristen Intemann,Professor History & Philosophy

Program Co-Lead

Research interests include AI ethics, “trust” and trustworthy AI, impacts of AI on the production of knowledge, and other potential social and environmental implications of AI.

John Sheppard, Norm Asbjornson College of Engineering Distinguished Professor of Computer Science, Gianforte School of Computing

Technical Advisor for the IIAI

Research interests include probabilistic graphical models, machine learning, deep learning, evolutionary algorithms, swarm-based algorithms, fault diagnostics, fault prognostics, health management, distributed optimization, data mining, ethical and explainable AI.

William Culpepper,  Assistant Professor of Art, College of Art and Architecture

 Professor Culpepper’s research explores how generative AI can advance design education and transform healthcare design through critical AI literacy, investigating the creative and pedagogical intersections of emerging technologies with socially responsible design practices. I examine the potential of AI tools in solving complex design challenges while preparing students to engage thoughtfully with technology, positioning design as a bridge between innovation, community needs, and ethical creative practices.

Elizabeth Johnson, Assistant Professor, Mark and Robyn Jones College of Nursing

Research interests center on AI jurisprudence, regulatory competency, and agile approaches to healthcare AI regulation, governance, and accountability. Additional areas of focus include the responsible use of predictive AI in pragmatic, adaptive clinical trials; participatory co-design; sustainable AI innovation led by under-engaged communities; and equitable data commons.

Brooke Lahneman, Assistant Professor, Jake Jabs College of Business & Entrepreneurship 

Dr. Lahneman’s research aims to contribute to our greater understanding of corporate sustainability from systems perspectives, on issues relevant to AI and technology such as freshwater stewardship, community impacts, cross-sector partnerships

Nicholas Lux, Professor of Education, College of Education, Health, and Human Development

Research interests include AI and digital technologies in pre-K-12 Education, as well as the social and ethical impacts of AI for Tribal Nations and Indigenous data sovereignty.

Paul Nugent, Assistant Professor of Land Resources and Environmental Sciences, College of Agriculture

Dr. Nuggent’s research focuses on precision agriculture, exploring the use of trainable algorithms, such as object classification and artificial intelligence models, to drive innovation in agricultural practices and enable data-driven decision-making.

John Sheppard, Distinguished Professor of Computer Science, Gianforte School of Computing, College of Engineering

Research interests include probabilistic graphical models, machine learning, deep learning, evolutionary algorithms, swarm-based algorithms, fault diagnostics, fault prognostics, health management, distributed optimization, data mining, ethical and explainable AI.