Artificial Intelligence in Neurofinance and Behavioral Finance

This book combines artificial intelligence, neurofinance, and behavioral finance to create a sustainable business management approach that prioritizes long-term resilience and ethical considerations over short-term profit maximization. It offers readers practical tools for navigating the complex intersection of technology, psychology, and finance.Artificial Intelligence in Neurofinance and Behavioral Finance: Decision Making for Sustainable Business Management delivers a unique synthesis of cutting-edge AI technologies with psychological insights into investor behavior, providing readers with AI-powered ESG scoring models, risk assessment frameworks, and predictive analytics tools. The book features real-world case studies, practical implementation roadmaps, and actionable insights that help organizations align financial strategies with UN Sustainable Development Goals while addressing critical issues like algorithmic bias, data privacy, and transparent AI systems. Readers will gain access to proven methodologies for integrating emotional impacts and cognitive biases into decision-making processes, transforming sustainability from a compliance requirement into a competitive advantage. The book distinguishes itself by addressing the critical gap between technological advancement and sustainable business practices, offering a scientifically-grounded, socially conscious approach to financial decision-making. environments.It is designed for a diverse professional audience including business leaders and financial consultants seeking innovative decision-making frameworks, AI professionals exploring real-world applications in finance, policymakers and students and academics researching the intersection of AI and financial prediction.

Sachi Nandan Mohanty (Senior Member, IEEE) received the Ph.D. degree from Indian Institute of Technology Kharagpur, India, in 2015, with MHRD Scholarship from the Government of India. He is currently a Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India. His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence.Dr. Rakesh Kumar is an Assistant Professor at the School of Computer Science and Engineering (SCOPE) at VIT-AP University, Amaravati, Andhra Pradesh, India. He holds a PhD from IISc Bangalore and has expertise in areas including machine learning, civil engineering applications, and sustainable technology research. Dr. Kumar is actively involved in academic research and has contributed to publications on topics such as Industry 5.0, sustainable manufacturing practices, and the integration of AI and IoT technologies. He has been recognized for his work in structural equation modeling (SEM), ISM, and Fuzzy TOPSIS research methodologies, demonstrating his commitment to advancing both theoretical knowledge and practical applications in computer science and engineering.Dr. Isaías Scalabrin Bianchi is a distinguished academic and researcher at the Federal University of Santa Catarina (UFSC) in Brazil. He holds expertise in computer science and engineering, with particular focus on artificial intelligence, machine learning, and computational systems. Dr. Bianchi has contributed significantly to the academic community through his research publications and involvement in various technological innovation projects. His work at UFSC involves both teaching and conducting cutting-edge research that bridges theoretical computer science concepts with practical applications in emerging technologies. He is recognized for his contributions to the advancement of computational intelligence and his role in fostering academic excellence at one of Brazil's leading federal universities.