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.

"In Understanding Religion through Artificial Intelligence, Justin E. Lane looks at the reasons why humans feel that 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."--

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.

'God from the machine' (deus ex machina) refers to an ancient dramatic device where a god was mechanically brought onto the stage to save the hero from a difficult situation. But here, William Sims Bainbridge uses the term in a strikingly different way. Instead of looking to a machine to deliver an already known god, he asks what a computing machine and its simulations might teach us about how religion and religious beliefs come to being. Bainbridge posits the virtual town of Cyburg, population 44,100. Then, using rules for individual and social behavior taken from the social sciences, he models a complex community where residents form groups, learn to trust or distrust each other, and develop religious faith. Bainbridge's straightforward arguments point to many more applications of computer simulation in the study of religion. God from the Machine will serve as an important text in any class with a social scientific approach to religion.

"Artificial Intelligence (AI), the new frontier of human evolution, holds the promise of reuniting religion and science"--

Artificial Intelligence (AI) is rarely out of the news and the public's imagination. Images of red-eyed Terminators illustrate press accounts of incremental advances in medical diagnosis, facial recognition, natural language processing, and robotics. Such advances transform society through measurable impacts on people's decisions and opportunities. Religion and Artificial Intelligence: An Introduction explores an emerging field with a religious studies approach, drawing on cultural and digital anthropological methods, to demonstrate the entanglements of religion and AI, our imaginaries of these objects, and our ideas about their utopian or dystopian futures. It addresses key topics including: What AI is and is not How religions are reacting to AI with examples of rejection, adoption, and adaptation How established religions understand creation and place human-like AI within that How overtly secular and even 'New Atheist' groups understand AI as a tool for liberation from human evolution and religion Religious visions of superintelligent AI. This engaging book is essential for anyone considering the relationship between religion, science and technology, and interested in the questions raised by transhumanism, posthumanism, and new religious movements.

"God from the machine" (deus ex machina) refers to an ancient dramatic device where a god was mechanically brought onto the stage to save the hero from a difficult situation. But here, William Sims Bainbridge uses the term in a strikingly different way. Instead of looking to a machine to deliver an already known god, he asks what a computing machine and its simulations might teach us about how religion and religious beliefs come to being. Bainbridge posits the virtual town of Cyburg, population 44,100. Then, using rules for individual and social behavior taken from the social sciences, he models a complex community where residents form groups, learn to trust or distrust each other, and develop religious faith. Bainbridge's straightforward arguments point to many more applications of computer simulation in the study of religion. God from the Machine will serve as an important text in any class with a social scientific approach to religion.