Arjan Durresi, Trust Engineering – from Developing Resilient Systems to Artificial Conscience

This talk will discuss how we engineer trust among agents, humans, and algorithms to develop solutions to significant practical problems, including Trustworthy AI in multiple applications, Resilience in systems, and a framework for Artificial Conscience to control AI, which we extend to system security. Trustworthiness of AI solutions is emerging as a must for the best use of AI. Using our trust system, we have developed metrics for acceptance, explainability, and fairness of AI solutions having humans in the loop. Furthermore, we introduce the concept of Trustability, which captures the probability of a system keeping the required QoS performance under a specific attack tree. Finally, we present our framework for Artificial Conscience, where AI algorithms are controlled by agents who negotiate with each other using our trust engine to output a solution with maximum" Artificial Feeling." This framework can be easily implemented in any AI system where multiple metrics are involved, including system security scenarios. About the speaker: Arjan Durresi is a Professor of Computer Science at Indiana University Purdue University in Indianapolis, Indiana. He has published over 100 papers in journals, over 220 articles in conference proceedings, and twelve book chapters. His research interests include Trust Engineering, System Security, Trustworthy Artificial Intelligence, AI Control, Network Architectures and Protocols, and Quantum Computing. NSF, USD, states, universities, and industry sources funded his research. He was named among the top 2% of scientists on Stanford's list in September 2021and updated in October 2022.