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Conceptual Understanding of Generative AI in the Modern World
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Author(s): Aryan Vasa (Ajeenkya D.Y. Patil University, India), Aditya Shrivastav (Ajeenkya D.Y. Patil University, India), Sunil Sankathala (Ajeenkya D.Y. Patil University, India), Kashvi Chaturvedi (Ajeenkya D.Y. Patil University, India)and Susanta Das (Ajeenkya D.Y. Patil University, India)
Copyright: 2026
Pages: 26
Source title:
Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics
Source Author(s)/Editor(s): Bahaa Eddine Elbaghazaoui (Sultan Moulay Slimane University, Morocco), Mohamed Amnai (Ibn Tofail University, Morocco)and Noreddine Gherabi (Sultan Moulay Slimane University, Morocco)
DOI: 10.4018/979-8-3373-5616-7.ch001
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Abstract
Generative AI, an innovative subset of Artificial Intelligence, is revolutionizing industries including business, healthcare, education, and the arts. This article examines the origins of GenAI, critical technologies and foundational concepts (such as GANs, VAEs, Diffusion Models, and Transformers), and well-known tools like DALL·E and ChatGPT. It describes how GenAI produces realistic text, graphics, code and audio and how it's used to businesses, software, design, and learning. Along with examining issues like hallucinations, abuse, and inexplicability, the review also examines important societal issues including trust, bias, ethics, transparency and environmental effect. It also covers how GenAI fosters productivity, creativity, and human-AI cooperation. Through case studies and research analysis, it demonstrates how GenAI development is quickly transforming the fields like business, logistics, education, design, engineering, etc. In order to ensure that GenAI advances humankind without endangering it, it ends by urging a responsible, transparent, and moral approach to its use.
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