Miami Presents: Symbolic AI - Building Trustworthy and Explainable Systems

How can we build AI systems that we can truly trust? What role does AI play in shaping a more transparent and responsible future? Join Dr. Daniela Inclezan, Associate Professor of Computer Science and Software Engineering, and Professor Emeritus, Dr. Jim Kiper as they discuss symbolic AI and its potential to develop more trustworthy and explainable AI systems. In this conversation, we’ll delve into the distinctions between symbolic AI and other AI models, exploring how it enhances transparency in decision-making. Additionally, we will address the critical social and environmental impacts of deploying AI technologies, emphasizing why these considerations are essential as AI continues to transform our world.

Dr. Daniela Inclezan teaches courses on data structures, database systems, comparative programming languages, and knowledge representation.  She conducts research in the field of Artificial Intelligence (AI), particularly in knowledge representation and logic programming. She is interested in the design of languages for an elegant and concise representation of commonsense knowledge about actions and change.

Dr. Inclezan received her B.S. in Computer Science from the Technical University of Cluj-Napoca, Romania, M.A. in Applied Linguistics and Second Language Studies from Texas Tech University, M.S. in Computer Science from Texas Tech University, and Ph.D. in Computer Science from Texas Tech University.  She joined the Department of Computer Science and Software Engineering in 2013 as a visiting assistant professor, became an assistant professor in the 2014-2015 academic year, granted tenure as an associate professor in July 2020 and currently is the Maryloo Spooner Schallek Endowed Professor.

This event is free to attend, but registration is required.  Questions?  Please reach out to Mollie Young at youngmr@miamioh.edu.