Publisher's Synopsis
Hybrid human-artificial intelligence is a new research area concerned with all aspects of AI systems that assist humans, and vice versa. The emphasis is on the need for adaptive, collaborative, responsible, interactive and human-centered artificial intelligence systems that can leverage human strengths and compensate for human weaknesses while taking into account social, ethical and legal considerations. The challenge is to develop robust, trustworthy AI systems that can 'understand' humans, adapt to complex real-world environments and interact appropriately in a variety of social settings. This book presents the proceedings of the 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI2022), held in Amsterdam, The Netherlands, from 13 -17June 2022. HHAI2022 was the first international conference focusing on the study of AI systems that amplify rather than replace human intelligence by cooperating synergistically, proactively, responsibly and purposefully with humans. Scholars from the fields of AI, human computer interaction, cognitive and social sciences, computer science, philosophy, and others were invited to submit their best original work on hybrid human-artificial intelligence. The book contains 24 main-track papers, 17 poster and demo papers, and 1 Hackathon paper, selected from a total of 96 submissions, and topics covered include human-AI interaction and collaboration, co-learning and co-creation; learning, reasoning and planning with humans and machines in the loop; integration of learning and reasoning; law and policy challenges around human-centered AI systems; and societal awareness of AI. The book provides an up-to-date overview of this novel and timely field of study, and will be of interest to all those working with aspects of artificial intelligence, in whatever field.
