AI and ML in Behavioral, Health, and Applied Sciences

This book provides a comprehensive exposition to applications of AI in areas such as psychology, engineering, bioscience, pharmacology, and sociology which deal with various aspects of human behavior and development. It also delves into the areas of ethical and legal issues related to AI as applied to different subject areas. In each of these areas, AI has been very effectively used and has benefitted human beings, for instance, in health care. However, challenges in application of AI to different disciplines lie in the multidisciplinary approach which requires AI to include many related disciplines almost equally to a problem and find an effective and appropriate solution that can be replicated and predictable too. The merging of the different fields having different terminologies, methods and procedures as well as legal issues, poses difficulties in applying AI to integrating the essence of the different disciplines toward solution of a problem. Furthermore, a thorough knowledge of the concerned fields in addition to the AI renders this task highly challenging.

Highlights the applications of AI in areas such as psychology, engineering, bio science, pharmacology, and sociology Discusses the ethical and legal issues related to AI and its application to different subject areas Presents birds eye view of the effective application of AI to interdisciplinary research and solving real-life problems

Autorentext

Prof. Vimala Veeraraghavan is Emeritus Professor in Psychology and Education. She has 40 years of teaching and research experience including supervising research scholars. She has formerly worked in Delhi University, as professor and Head of Department of psychology and after retirement at Amity University, Noida, and as Emeritus Professor in IGNOU, New Delhi, and held various positions including Head/Director of the departments. She was Visiting Professor at Thammassat University Bangkok and has been Invited Speaker and chaired sessions at many international conferences. She has been Recipient of many notable awards like the prestigious Lifetime Achievement Award of the Asiatic Society, Teacher Fellowship award of the Indian Council of Social Science Research (ICSSR), and National Fellowship Award of the Indian Council of Philosophical Research (ICPR).

Dr. Shatakshi Srivastava is an ardent researcher and educator with over 16 years of experience in the fields of metabolomics, biomarker discovery, and cancer research. She currently serves as an Assistant Professor at Apeejay Stya University, where she has been instrumental in fostering interdisciplinary collaborations and advancing research excellence.

Dr. Srivastava has made significant contributions to academia and research, with 11 peer-reviewed international publications, edited books, several book chapters, and numerous presentations at prestigious conferences, including International Society for Magnetic Resonance in Medicine and Nuclear Magnetic Resonance Society. She is also a life time member of International Brain Research Organization, USA and Nuclear Magnetic Resonance Society, India. Her expertise lies in NMR spectroscopy, systematic reviews, statistical analysis, and leveraging AI and machine learning for healthcare innovations. She has successfully completed a DRDO-funded research project and has successfully led multiple grant submissions and collaborations with premier institutions. Recognized for her excellence, she has received numerous accolades, including the best presentation awards and travel grants.

Dr. Sonam Raheja holds a Ph.D. in Materials Science from GJUS&T, Hisar, and serves as an Associate Professor of Physics at the School of Engineering & Technology, Apeejay Stya University. A recipient of the prestigious SRF Fellowship from CSIR-India, she brings over 15 years of teaching & research experience. Dr. Raheja has contributed significantly to academia with 18 international journal publications and 17 conference papers. She has also served as Principal Investigator for a DRDO-funded research project. In addition to her academic responsibilities, she serves as Coordinator of the Applied Sciences Department, Deputy Dean (Alumni), and Chief Coordinator for cultural activities at the University.

Inhalt

The mathematical foundation of machine learning and AI.- Recent trends of AI and ML in research.- Am I in or out with my Gestalt On emerging trends in AI behavioral sciences engineering and technology.- AI and Mental Health.- AI in Mental Disorder.- AI as a tool to diagnose Suicidal Behaviour.- Ethical Considerations in AI Driven Research.- AI and Cyber security.- Human Rights in the Age of Artificial Intelligence.