Generative AI and Its Transformative Potential
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...
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| Format: | Online |
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| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online Access: | ONIX_20250812T110751_9783725841851_369 |
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| _version_ | 1869525706371760128 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-165614 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1656142025-08-12T10:00:23Z Generative AI and Its Transformative Potential Ilieva, Galina Tsihrintzis, George A. artificial intelligence generative models computational intelligence machine learning neural networks deep learning innovation automation data synthesis generative adversarial networks (GANs) artificial intelligence-empowered software thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 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. 2025-08-12T10:00:21Z 2025-08-12T10:00:21Z 2025 book ONIX_20250812T110751_9783725841851_369 9783725841851 9783725841868 https://directory.doabooks.org/handle/20.500.12854/165614 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10996 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4186-8 10.3390/books978-3-7258-4186-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725841851 9783725841868 322 open access |
| spellingShingle | artificial intelligence generative models computational intelligence machine learning neural networks deep learning innovation automation data synthesis generative adversarial networks (GANs) artificial intelligence-empowered software thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Generative AI and Its Transformative Potential |
| title | Generative AI and Its Transformative Potential |
| title_full | Generative AI and Its Transformative Potential |
| title_fullStr | Generative AI and Its Transformative Potential |
| title_full_unstemmed | Generative AI and Its Transformative Potential |
| title_short | Generative AI and Its Transformative Potential |
| title_sort | generative ai and its transformative potential |
| topic | artificial intelligence generative models computational intelligence machine learning neural networks deep learning innovation automation data synthesis generative adversarial networks (GANs) artificial intelligence-empowered software thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | artificial intelligence generative models computational intelligence machine learning neural networks deep learning innovation automation data synthesis generative adversarial networks (GANs) artificial intelligence-empowered software thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20250812T110751_9783725841851_369 |