This unique book delves into the convergence of artificial intelligence (AI) principles-rooted in scientific knowledge and technological advancements-with the concept of spiritual wellness, exploring their significance in our increasingly automated and digitized world. The author offers a synthesis of two domains often perceived as distinct, appealing to both technologists and spiritual thinkers. Beginning with an exploration of the definitions and scope of "spiritual AI," the book encourages the quantification of spiritual wellness, illustrated through examples from current literature. It sheds light on the evolution of the spiritual quotient, presenting it as an integration of intelligence quotient (IQ) and emotional quotient (EQ), enhanced by dimensions of spirituality. The discussion spans various application domains and delves into the mind's entanglement-like phenomena, raising critical questions: Can a machine truly attain consciousness? How do spiritual wellness and quantum mechanics intertwine? The author invites readers to ask their own questions, contemplate the boundless possibilities of spiritual AI, and challenge existing paradigms.

• Defines and explores the realms of spiritual artificial intelligence;

• Presents the current literature over quantification of mind and spiritual wellness;

• Dives into applications of spiritual AI grounded in the dimensions of spirituality.

Autorentext

Dr. Muskan Garg is working as postdoctoral research fellow at Mayo Clinic, Rochester, Minnesota. She was previously working as Postdoctoral research associate at University of Florida and as an assistant professor in Thapar Institute of Engineering and Technology, Patiala (TIET). Her research focuses on the problems in natural language processing (NLP), information retrieval, and social media analysis. She received her master's and PhD from Panjab University, India. Before TIET, she worked as an assistant professor in Amity School of Engineering and Technology at Amity University. Her focus is on research and development of innovative NLP approaches to solving problems of national and international importance. Her current research interests are causal inference, mental health and cognitive analytics for dementia/ Alzheimer's, and temporal analysis of progression of diseases. She has published 40+ research articles in peer-reviewed journals and conferences.