New Directions in Human-Technology Frontier: Past, Present and Future of Human-AI Collaboration by Prof. A. E. Bayrak
Supporting human users with automated systems has been a topic of engineering research since the 1950s. Recent advances in artificial intelligence enable computers and machines to support humans in new ways as peers in hybrid teams in many complex problem-solving situations. The application domains of this new collaboration paradigm range from information to healthcare, transportation, aviation, or defense systems. This shift in the role of intelligent systems deserves fresh perspectives as to how these systems should be designed to leverage the full potential of human-AI collaboration. This talk will present an overview of the new research directions in human-AI collaboration. The talk will discuss the current capabilities of the AI technology with examples from different application domains and identify key issues related to human factors, decision-making models behind AI systems, and architecture of human-AI collaboration based on the lessons learned from the presenter’s past research projects.
Prof. A. Emrah Bayrak is an Assistant Professor in the School of Systems and Enterprises at Stevens Institute of Technology. He received his B.S. degree (2011) in mechatronics engineering from Sabanci University, M.S. (2013) and PhD degrees (2015) in mechanical engineering from the University of Michigan. Prior to joining Stevens, he worked as a post-doctoral research fellow in the Optimal Design Lab at the University of Michigan, and as a Research Scientist in the Integrated Design Innovation Group at Carnegie Mellon University. Dr. Bayrak’s research focuses on integrating computational methods with human cognition for the design and control of smart products and systems. He is particularly interested in developing artificial intelligence (AI) systems that can effectively collaborate with humans considering unique capabilities of humans and computational systems. He studies the impact of AI behaviors, division of labor and coordination on trust and performance in human-AI collaboration. His research uses methods from design, controls and machine learning as well as human-subject experiments on virtual environments such as video games.