Artificial Intelligence Powered Ethical Systems, Generative Intelligence, and Societal Futures / / edited by Subrata Chowdhury, Amrutanshu Panigrahi, Abhilash Pati
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| Autore: | Chowdhury Subrata |
| Titolo: | Artificial Intelligence Powered Ethical Systems, Generative Intelligence, and Societal Futures / / edited by Subrata Chowdhury, Amrutanshu Panigrahi, Abhilash Pati |
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (813 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Technological innovations | |
| Information technology - Moral and ethical aspects | |
| Artificial Intelligence | |
| Innovation and Technology Management | |
| Information Ethics | |
| Altri autori: | Chowdhury |
| Nota di contenuto: | Balancing Profit and Ethics: Designing Equitable and Secure, Technologically Enabled Anti-Money Laundering Solutions -- Artificial Intelligence in International Criminal Investigations: A Legal Perspective -- Consensus over the Impact of National AI Strategies -- Beyond Human Accountability: Developing a Punitive Novel Framework for Offenses Committed by Artificial Intelligence -- AI of Tomorrow: A Global Quantitative Analysis of Organizational Readiness and Employee Reskilling -- The Right to Be Forgotten: Rethinking the Right to Privacy in the Digital Age -- AI and the Future of Strategic Decision-Making: Enhancing Qualitative Foresight Methodologies -- Artificial Intelligence and International Commercial Arbitration -- A Deep Learning-Based Approach for the Detection of Periodontal Disease using Convolutional Neural Networks (CNN) -- Harnessing Artificial Intelligence for Enhanced Crisis Management and Security: Implications and Challenges in the UAE -- Enhancing Trust and Transparency in Decision-Making Through Explainable AI -- Exploring AI and Ethics in GCC's Education Sector: A Bibliometric Study -- Journalism Analytics and Perceived Message Credibility -- Transforming Wealth Management in the Middle East using Machine Learning & Generative AI. |
| Sommario/riassunto: | This book provides a global forum for leading experts in artificial intelligence to present their latest discoveries and concepts, as well as to collaborate on advancing novel intersubjective insights and methodologies. AIR's objective is to provide an environment that integrates human and technological demands with intelligent systems by merging innovative approaches with scientifically grounded procedures. This volume serves as a motivational resource for current research in artificial intelligence. The results presented here stem from a comprehensive study on autonomous functions and artificial intelligence, as well as their relevance to real-world issues. In a rapidly advancing technology landscape, human analysis, decision-making, and creativity are being transformed. The principles of artificial intelligence originate from the formulation of computations aimed at fostering intelligence and evolve into analytical tools that are universally accessible. . |
| ISBN: | 9783032247841 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911127946003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development, . 2522-8722