Generative AI and Its Transformative Potential

ISBN 10: 3725841853 / ISBN 13: 9783725841851

Published by MDPI AG, 2025

About this Item

Generative AI and Its Transformative Potential | Buch | Englisch | 2025 | MDPI AG | EAN 9783725841851 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 133605002

Bibliographic Details

• Title: Generative AI and Its Transformative Potential
• Publisher: MDPI AG
• Publication Date: 2025
• Language: English
• ISBN 10: 3725841853
• ISBN 13: 9783725841851
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 25D millimeters 250 millimeters width by 175 millimeters height by 25 millimeters depth
• Weight: 1005 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This Special Issue delves into the transformative potential of generative artificial intelligence (AI) across scientific and business domains. As AI progresses from automating repetitive tasks to amplifying creativity and innovation, it opens new pathways for research, education, industry, and human-centered systems. The contributions collected here illustrate how generative models are reshaping content creation, product design, and human-machine interaction. Leading experts offer insights into generative AI architectures, domain-specific applications, and practical implementations across multiple fields. The papers are organized into three thematic clusters: foundational frameworks for generative AI systems; educational and human-centered applications; and creative and business use cases. Together, these studies highlight both the opportunities and the challenges posed by this technology, particularly in relation to ethics, authenticity, and integration with existing infrastructures. Through this curated selection of research, we aim to foster a deeper understanding of how generative AI can be harnessed to enhance education, enrich society, and drive sustainable technological progress. As the field continues its rapid advance, we look forward to future explorations that build on the foundations laid in this Special Issue and promote the responsible, innovative deployment of AI systems.