In recent years, the emergence of generative artificial intelligence has reshaped the boundaries of what machines can create, understand, and transform. As editors of the book titled “The Age of Generative Artificial Intelligence”, we present this volume to offer a comprehensive and critical view of these advancements. This book brings together eight original chapters that reflect the multifaceted nature of this field and its impact across industries. The opening chapter presents a holistic examination of transformer-based models, covering their underlying architecture, practical applications, and the ethical considerations they raise. In the second chapter, readers explore how AI tools, especially large language models, are being integrated into primary health care, improving service delivery and patient outcomes. Our third chapter turns to the digital media landscape, analyzing how AI, particularly generative models, is transforming content production, audience engagement, and media personalization. From automated video and audio processing to dynamic content generation using tools like ChatGPT and Writesonic, this chapter highlights both the efficiencies and the ethical dilemmas emerging in the age of AI-powered media. In the fourth chapter, the creative potential of text-to-video generation is explored through models such as OpenAI’s Sora, Stable Diffusion, and Lumiere, showcasing the rapid evolution of multimodal generative capabilities. Chapter five focuses on the intersection of raw data and intelligent query generation, emphasizing the critical role of human validation to ensure reliability in AI-driven workflows. Chapter six addresses the increasing challenge of detecting AI-generated content. It offers a detailed evaluation of the current landscape of detector technologies, highlighting their limitations and the implications for digital trust. The seventh chapter delves into the complexities of agentic AI, exploring the risks of autonomous behavior in artificial systems and raising essential questions of control, responsibility, and accountability. Finally, the eighth chapter proposes a structured taxonomy of risks related to model deployment and data integrity, equipping readers with a practical framework to navigate the threats associated with widespread AI adoption. Published by İzmir Akademi Derneği (Izmir Association Academy) as part of the Future Tech Horizon series, this book seeks to inform, challenge, and inspire all who are engaged with the present and future of generative technologies.