Understanding Religion through Artificial Intelligence: Bonding and Belief

Description

In Understanding Religion through Artificial Intelligence, Justin E. Lane looks at the reasons why humans feel they are part of a religious group, despite often being removed from other group members by vast distances or multiple generations. To achieve this, Lane offers a new perspective that integrates religious studies with psychology, anthropology, and data science, as well as with research at the forefront of Artificial Intelligence (AI). After providing a critical analysis of approaches to religion and social cohesion, Lane proposes a new model for religious studies, which he calls the “Information Identity System.” This model focuses on the idea of conceptual ties: links between an individual’s self-concept and the ancient beliefs of their religious group. Lane explores this idea through real-world examples, ranging from the rise in global Pentecostalism, to religious extremism and self-radicalization, to the effect of 9/11 on sermons. Lane uses this lens to show how we can understand religion and culture today, and how we can better contextualize the changes we see in the social world around us Title Page Copyright Page Contents Illustrations Foreword Acknowledgments Chapter 1: Introduction Chapter 2: Religions, Old and New Chapter 3: Bonding and Belief Chapter 4: Identity and Extremism Chapter 5: Artificial Intelligence and Religions in Silico Chapter 6: From AI in Silico, to AI in Situ: Creating AI Gurus, Bird’s Eye Views of Christianity, and Using MAAI to Study Social Stability Chapter 7: Schisms and Sacred Values Chapter 8: The Future of Religion Notes References Index