Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World

The rapid evolution of AI, data science, and emerging technologies is reshaping industries, economies, and societal interactions on an unprecedented scale. These advancements drive innovation in areas such as healthcare, finance, transportation, and environmental sustainability, offering transformative solutions while also raising critical ethical and regulatory challenges. As AI systems become more integrated into processes, multidisciplinary collaboration is essential to ensure transparency, fairness, and accountability. The responsible development and deployment of AI will determine its long-term impact, shaping a future where technology aligns with human values and social progress. Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World examines the technical basis, ethical issues, social repercussions, and prospects of AI-driven progress. It guides readers through the complex and ever-changing world of AI-driven transformation, preparing them to contribute to a future where technology serves humanity responsibly. Covering topics such as blockchain, machine learning, and social media, this book is an excellent resource for academicians, researchers, industry professionals, policymakers, business leaders, entrepreneurs, students, educators, and more.