Bridging Human Intelligence and Artificial Intelligence

• In Event: Book Shares- Culture and HCI (v)

Short Description

This edited book is set to be published in 2021 by Springer. The book aims to offer forward-thinking and transdisciplinary perspectives for sustained improvements in learning at all levels. The primary audience for this book are academics and researchers in disciplines such as artificial intelligence, cognitive science, computer science, educational psychology, instructional design, human-computer interactions, information science, library science, and technology integration. The book includes 24 chapters, which are divided into four parts: 1) Trajectory of AI: From statistics and machine learning to deep learning. 2) Enhancing human intelligence through AI; 3) How AI imitates human neuroanatomy; 4) Understanding the effects of AI for learning. In addition to the interdisciplinary nature of the topics included, we created an innovative authoring process -- an apprenticeship and mentorship process. We recruited high-school-aged students to learn the methods of conducting research, to be engaged in intellectual dialogues on the interactions between human intelligence and artificial intelligence, and to co-author the chapters with graduate students and faculty. The process has helped the young scholars to build interdisciplinary scholarship and inquiries.

Authors

• Presenter: Lin Lin, University on North Texas

• Presenter: Mark Albert, University of North Texas

• Presenter: Jonathan Michael Spector, Department of Learning Technologies