Artificial Intelligence in Information Systems and Computer Science Theoretical Foundations and Advanced Approaches

Positioned at the center of the digital age, artificial intelligence technologies are reshaping not only information technology infrastructures but also a wide spectrum of domains ranging from decision-making processes to societal transformation. Titled Artificial Intelligence in Information Systems and Computer Science: Theoretical Foundations and Advanced Approaches, this work aims to evaluate the impacts of AI-driven transformation on computer science from a multidimensional perspective. Planned for publication in June 2026, the book analyzes the relationship between theoretical computer science and real-world information systems applications in light of current technological developments.

The book addresses contemporary research areas such as data-driven decision systems, large language models, deep learning infrastructures, algorithmic optimization, intelligent security systems, human-computer interaction, and cyber-physical architectures. Throughout the chapters, the focus extends beyond technical methodologies to also include the ethical dimensions of artificial intelligence, sustainable digital ecosystems, and the design of future intelligent systems. In this way, the work provides readers with a multilayered perspective by integrating theoretical foundations with practical application scenarios.

Bringing together academic research and industry experience on a common platform, this study serves as an advanced reference source for researchers, academics, software developers, and graduate students. By comprehensively addressing the transformative impact of artificial intelligence on computer science, the book aims to become a strategic guide for readers seeking to understand and develop the digital systems of the future.