Handbook of Human-AI Collaboration

Prof. Mohamed Chetouani is currently a Full Professor in signal processing and machine learning for human-machine interaction. He is the Deputy Director the Institute of Intelligent Systems and Robotics (CNRS UMR 7222), Sorbonne University (formerly Pierre and Marie Curie University). His activities cover social signal processing, social robotics and interactive machine learning with applications in psychiatry, psychology, social neuroscience and education. He was the coordinator of the ANIMATAS H2020 Marie Sklodowska Curie European Training Network (2018-2022). He was the President of the Sorbonne University Ethics Committee from 2019 to 2023. He was involved in several educational activities including organization of summer schools. He is member of the EU Networks of Human-Centered AI (HumanE AI NET) and Robotics (euROBIN). He was General Chair of ACM ICMI 2023 and VIHAR 2021. He is currently serving as Associate Editor of IEEE Transactions on Affective Computing. He co-published several books and proceedings, including the Human-Centered Artificial Intelligence (Springer, 2023). He is in charge of the inclusion of Students with Disabilities for the Faculty of Science and Engineering of Sorbonne University.

Professor Andrzej Nowak is a Full Professor of Psychology at both Florida Atlantic University and the University of Warsaw, where he is also the Director of the Center for Complex Systems and New Technologies, holding a Ph.D. in psychology.He has authored or edited over 15 books and numerous influential publications in top-tier journals in psychology, physics, and interdisciplinary journals.  His current research concentrates on artificial intelligence (AI), complex systems, human-computer interactions, social influence, social media, social influence, and self-structure. Dr. Nowak's pioneering work on AI includes developing models of feedback control in artificial neural networks, which has significantly advanced our understanding of how these systems can dynamically change their properties by adjusting to incoming information.  He has significantly contributed to understanding complex social systems, group dynamics, and the psychological foundations of human behavior through computational models and AI technologies. His work not only advances the field of psychology but also contributes to interdisciplinary dialogues between psychologists, computer scientists, physicists, and policymakers on how social interactions and AI shape human behavior and social processes.

Prof. Paul Lukowicz is a Full Professor of AI at the RPTU in Kaiserslautern, Germany, and at the same time Scientific Director at DFKI Kaiserslautern, where he heads the Embedded Intelligence group. Previous positions include Full Professor of Embedded Systems at the University of Passau, Germany, and Full Professor in the Computer Engineering Dept. at the University for Health Sciences, Medical Informatics and Technology in Innsbruck, Austria.His research focuses on context-aware ubiquitous and wearable systems, including sensing, pattern recognition, system architectures, models of large-scale self-organized systems, and applications. Currently, Paul Lukowicz is running a wide range of German national and EU projects. He was the Coordinator of the HumanE AI-Net, a large networking project with more than 50 European partners and acts as Editor for various scientific publications. He has served on more than 50 program committees (including TPC Chair) at high-quality international conferences of all the main conferences within his research area.