Next-Generation AI: Towards Explainable and Optimized Intelligent Systems: Fundamentals and Applications (Studies in Computational Intelligence, 1292)

This book addresses all three challenges in an integrated and principled way-offering researchers, engineers, and practitioners a coherent, application-driven resource that bridges theory and deployment.As AI systems move from research benchmarks into clinical workflows, industrial deployments, and everyday decision support, three imperatives have become central to responsible AI development: making systems genuinely explainable, privacy-compliant, and computationally efficient enough for real-world use. This book brings together fifteen original contributions from research teams spanning universities, engineering schools, and industrial R&D centres.Its defining feature is the explicit connection it draws between formal explainability theory and practical AI systems: rather than treating interpretability as a post-hoc concern, this book argues-and demonstrates-that genuine transparency must be built into system architecture from the outset, with neuro-symbolic integration positioned as