Artificial Intelligence and The Future of Parenting explores how emerging technologies are transforming the way children are nurtured, guided, and supported in a digital world. Covering themes from neuroscience and generative AI to predictive analytics and Emotion AI, the book presents a balanced perspective on opportunities and ethical challenges.

It highlights the impact of intelligent systems on child development, learning, and parent–child relationships. With a strong focus on responsible adoption, empathy, and human connection, this book serves as a valuable guide for parents, educators, and researchers seeking to navigate the evolving landscape of AI-driven parenting.

Dr. C. Kishor Kumar Reddy is a seasoned academician and researcher with over 13 years of experience in Computer Science and Engineering.He is currently serving at Stanley College of Engineering and Technology for Women, Hyderabad.He holds a Ph.D. in Computer Science and Engineering and has completed his Postdoctoral Fellowship from Universiti Kebangsaan Malaysia, Malaysia.Dr. Reddy has made significant contributions in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Cybersecurity, Healthcare 6.0, and Disaster Management.

He has authored and co-authored more than 230 research articles in reputed SCI/Scopus-indexed journals, presented at international conferences, and contributed to numerous book chapters with leading publishers such as Springer Nature, CRC Press, Wiley–IEEE, IGI Global, and Cambridge Scholars Publishing.He also holds several published patents and serves as an editor for multiple scholarly books on emerging technologies.Dr. Reddy is an active member of professional bodies such as the Indian Society for Technical Education, Computer Society of India, and the International Association of Engineers, among others.

Dr. Lilian Anthonysamy is currently serving as an Associate Professor at the Faculty of Management, Multimedia University. She holds the title of Professional Technologist, accredited by the Malaysian Board of Technologists (MBOT), earning her the designation “Ts” (Technology Specialist), and is also a certified trainer endorsed by the Human Resources Development Fund (HRDF).

Her research interests span information technology adoption in businesses, human factors in information systems, digital transformation in organisations, geriatric studies, digital and seamless learning, digital literacy, anthropology of individual behaviour, learning methodologies, and educational technology. She also serves as a reviewer for several high-tier journals.

Dr. Lilian is a senior member of the International Association of Computer Science and Information Technology and is affiliated with multiple professional bodies, including the Malaysian Board of Technologists, Centre of Consumer Research and Education, Malaysia Educational Technology Association, Malaysian Institute of Management, Association for Information Systems, and the Malaysia Design Council.

With over 19 years of experience as a certified trainer, she has conducted numerous programs through Multimedia University Consultancy Unit, Cynergy, and other large corporations. Her training expertise includes Design Thinking, Digital Leadership, Digital Mindset and Strategy, Digital and blended learning, MS Office applications, Visual Communication, Soft Skills, Driving Digital Transformation, workplace digital skills, and research-oriented training such as proposal writing, questionnaire development and validation, systematic literature reviews, Structural Equation Modelling using SmartPLS, proposal defence preparation, and viva readiness.

Dr. Wan Noorshahida Mohd Isa is currently serving as an Assistant Professor at the Faculty of Computing and Informatics (FCI) and as Research Center Chairperson for the Center for Image and Vision Computing (CIVC) under the CoE for Artificial Intelligence at Multimedia University.She is an engineering alumnus of Vanderbilt University, where she earned her Bachelor’s degree in Electrical Engineering (magna cum laude), before transitioning into the computing domain. She completed her Master’s degree from the University of Southampton and subsequently obtained her Doctorate from Multimedia University.

Dr. Wan Noorshahida was a Laureate of the France–Malaysia Collaboration Programme for Joint Research 2022 (MyTIGER 2022), an initiative under the Embassy of France in Malaysia.Her core research area is visual analytics, focusing on the design and development of machine learning models for image and video data.

She previously served as Deputy Dean of the Faculty of Computing and Informatics (FCI) at Multimedia University from 2016 to 2020.She is also professionally certified as a MyTRIZ Level 2 Instructor and Level 3 Practitioner (Malaysia TRIZ – Theory of Inventive Problem Solving), a RapidMiner Machine Learning Professional, and an ISACA Cybersecurity Fundamental Professional.

T. Monika Singh received her M.Tech degree in Computer Science and Engineering from Osmania University.She is currently pursuing her Ph.D. in the IT Department at Annamalai University.Since 2017, she has been serving as a faculty member in the Computer Science and Engineering Department at Stanley College of Engineering and Technology for Women.

She possesses extensive experience in both teaching and research.She is certified as a project-based learning mentor by Wipro and holds a TalentNext certification in Java Full Stack.Her research interests primarily focus on Machine Learning.She has published several research papers in national and international journals and also holds a patent to her credit.

Chapter 1.Introduction to Parenting in the Neural Age of Artificial Intelligence & Emotional Technologies
Chapter 2.The Neuroscience of Child Development and Its Role in Modern Parenting
Chapter 3.Understanding Generative AI Capabilities and Their Transformative Rolein Digital Parenting
Chapter 4.Leveraging Predictive Analytics for Behaviour Forecasting and Early Intervention in Children
Chapter 5.Enhancing Child Development Monitoring through AI-Augmented Miletone Tracking System
Chapter 6.The Dual Imperative: Navigating Emotion AI in Child Development
Chapter 7.Envisioning the Future of Parenting in an AI-Integrated Synthetic and Cognitive Age
Chapter 8.Generative Neuroadaptive Parenting Systems Using Cognitive State Prediction Models
Chapter 9.Examining Trust Dynamics Between Parents and AI Systems in Decision-Making Processes
Chapter 10.Navigating Ethical Dilemmas and Privacy Concerns in AI-Driven Parenting Technologies
Chapter 11.Formulating Policy Guidelines and Educational Frameworks for the Future of AI Parenting
Chapter 12.Real-World Case Studies Showcasing Success and Limitations 
Chapter 13.Envisioning the Future of Parenting in an AI-Integrated Synthetic and Cognitive Age