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GAI: 3rd: Ethics, Policy, and Societal Implications. Generative AI, #3
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- FormatePub
- ISBN8231446780
- EAN9798231446780
- Date de parution19/06/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWalzone Press
Résumé
"GAI 3rd: Ethics, Policy, and Societal Implications" offers a concise yet thorough overview of human-centered generative AI practices, blending rigorous theoretical foundations with real-world applications. Readers are guided through ethical frameworks, bias mitigation techniques, and policy landscapes, gaining insights into advanced architectures like GANs, VAEs, diffusion models, and transformers.
Through case studies spanning healthcare, creative industries, and environmental modeling, the volume demonstrates how to deploy responsible, scalable AI solutions. Emphasizing interdisciplinary collaboration, it addresses regulatory challenges and governance strategies while charting emerging research directions. This presentation equips scholars and practitioners with actionable methods to navigate the complex interplay of technology, ethics, and society in generative AI.
Through case studies spanning healthcare, creative industries, and environmental modeling, the volume demonstrates how to deploy responsible, scalable AI solutions. Emphasizing interdisciplinary collaboration, it addresses regulatory challenges and governance strategies while charting emerging research directions. This presentation equips scholars and practitioners with actionable methods to navigate the complex interplay of technology, ethics, and society in generative AI.
"GAI 3rd: Ethics, Policy, and Societal Implications" offers a concise yet thorough overview of human-centered generative AI practices, blending rigorous theoretical foundations with real-world applications. Readers are guided through ethical frameworks, bias mitigation techniques, and policy landscapes, gaining insights into advanced architectures like GANs, VAEs, diffusion models, and transformers.
Through case studies spanning healthcare, creative industries, and environmental modeling, the volume demonstrates how to deploy responsible, scalable AI solutions. Emphasizing interdisciplinary collaboration, it addresses regulatory challenges and governance strategies while charting emerging research directions. This presentation equips scholars and practitioners with actionable methods to navigate the complex interplay of technology, ethics, and society in generative AI.
Through case studies spanning healthcare, creative industries, and environmental modeling, the volume demonstrates how to deploy responsible, scalable AI solutions. Emphasizing interdisciplinary collaboration, it addresses regulatory challenges and governance strategies while charting emerging research directions. This presentation equips scholars and practitioners with actionable methods to navigate the complex interplay of technology, ethics, and society in generative AI.
