The Age Of Generative Artificial Intelligence


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The Age of Generative Artificial Intelligence


The Age of Generative Artificial Intelligence

Author: Söz Tuana DEMİR

language: en

Publisher: İzmir Akademi Derneği

Release Date: 2025-07-16


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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.

Teaching and Learning in the Age of Generative AI


Teaching and Learning in the Age of Generative AI

Author: Joseph Rene Corbeil

language: en

Publisher: Routledge

Release Date: 2025-04-29


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Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications. The increasing accessibility of AI technologies among K-12 and higher education students has raised extensive concerns around academic integrity, though a deeper lineage of research and development suggests that these tools may be used to supplement instruction, prioritize critical thinking, and promote digital literacy. Bookended by in-depth analyses of the historical and future trajectories of artificial intelligence in education, this comprehensive resource provides evidence-based strategies for classroom implementation and helpful summaries of common benefits and risks. Teaching assistance, personalized learning, redefined assessments, anti-bias measures, and safeguards against misconduct and privacy infringement are among the wealth of topics addressed in these chapters. This book is an ideal text for undergraduate and graduate students of teacher education and curriculum and instruction as well as for higher education teaching faculty, school technology coordinators, and talent development personnel in training and in service.

Responsible AI in the Age of Generative Models


Responsible AI in the Age of Generative Models

Author: I. Almeida

language: en

Publisher: Now Next Later AI

Release Date: 2024-03-11


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In "Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management" we present a comprehensive guide to navigating the complex landscape of ethical AI development and deployment. As generative AI systems become increasingly powerful and ubiquitous, it is crucial to develop governance frameworks that mitigate potential risks while harnessing the technology's transformative potential. This book presents a rights-based approach, grounded in established human rights frameworks, to align AI systems with societal values and expectations. Divided into ten parts, the book covers a wide range of topics essential for responsible AI governance: 1. Maps generative AI risks to specific human rights. 2. Presents a framework for institutionalizing rights-respecting AI practices throughout the development lifecycle. 3. Delves into responsible data governance practices. 4. Examines participatory approaches to data stewardship. 5. Explores the roles and responsibilities of different organizational functions in operationalizing responsible AI, emphasizing the need for cross-functional collaboration. 6. Focuses on transparency and algorithmic auditing. 7. Provides guidance on implementing effective multi-layered governance across the AI system lifecycle. 8. Introduces maturity models for assessing an organization's responsible AI capabilities. 9. Features an in-depth case study of Anthropic's innovative Constitutional AI approach. 10. Analyzes emerging regulatory frameworks such as the EU AI Act and discusses the implications for businesses operating in multiple jurisdictions. "Responsible AI in the Age of Generative Models" equips readers with the knowledge, tools, and strategies needed to unlock the transformative potential of generative models while safeguarding human rights and promoting social justice. It is an essential resource for business leaders, policymakers, researchers, and anyone concerned about the future of AI governance. By embracing responsible AI as an imperative, we can work together to build a world where AI empowers and uplifts us all. This book is an invitation to engage in that critical conversation and take action towards a more equitable future.