Dr. Jim Samuel, Professor of Professional Practice and Executive Director of Public Informatics Programs at Rutgers University’s Bloustein School, is an artificial intelligence (AI) scientist with significant industry experience in finance, technology, entrepreneurship, and data analytics. Professor Samuel is an expert in agentic AI (AAI), and AI innovation and his research covers foundation models configurations for optimal AAI, agentic query classification for bidirectional AAI, AAI interaction and human behavior, and AI-ROI and socioeconomic impacts of AI. Through interdisciplinary research, teaching, and industry collaboration as a professor of practice, he explores how AI and data-driven approaches can generate meaningful public value and support evidence-based decision-making, and human enhancive AI.
He holds a Ph.D. from Baruch – CUNY, M.B.A. in international finance from Thunderbird -ASU, and AI-NLP training from Stanford University. Dr. Samuel has published extensively in academic journals and advises businesses on AI strategies. He is the chair of the Rethinking Artificial Intelligence for Shared Empowerment (RAISE) AI research initiative, Editor in Chief of the Journal of Big Data and Artificial Intelligence (JBDAI), Senior Member – IEEE USA, Board Member / advisor to organizations, and leads AI strategy at AIXosphere.
“One of the most important concepts in AI is that AI does not possess intrinsic meaning making capabilities as human intelligence does. This impacts everyone and everything in the AI space, including innovation, usage and regulation” Jim Samuel, 2021.
Key links:
- LinkedIn: https://www.linkedin.com/in/jimonline
- RAISE: https://sites.rutgers.edu/raise/research/
- X: https://x.com/jimsamuel/
- PI on Wiki: https://en.wikipedia.org/wiki/Public_informatics
- New Jersey’s premier AI Journal: https://jbdai.org/index.php/JBDAI
Research Interests
- Artificial Intelligence and AI Strategy
- AI Agents, Agentic AI & Agentic Systems
- Natural Language Processing, Understanding and Generation (NLP, NLU, NLG)
- AI Education, AI Bias, AI Ethics, AI Policy & Human Enhancive AI
- AI and Information Philosophy
Teaching Topics
Artificial Intelligence, Natural Language Processing, language generation and understanding for Public Informatics Studios with AI and informatics real-world projects
Current courses
- 34:816:645 – Artificial Intelligence: Practice, Principles & Strategy (Online, live synchronous; open to all Rutgers graduate students)
- 34:816:510 – Studio in Public Informatics: NLP and Text Analytics Projects for Clients