Responsible implementations of generative AI for multidisciplinary use:
"Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more."-- |
| Beschreibung: | 20 PDFs (472 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369391754 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 1 | 0 | |a Responsible implementations of generative AI for multidisciplinary use |c Loveleen Gaur. |
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| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2025. | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Chapter 1. Generative Insights Unveiling AI's Evolution and Algorithms -- Chapter 2. The Era of Metaverse and Generative Artificial Intelligence -- Chapter 3. The Evolution of Ethical Standards and Guidelines in AI -- Chapter 4. The Pillars of AI Ethics: Transparency, Accountability, and Privacy -- Chapter 5. Navigating the Ethereal Waters: Establishing Accountability in the Autonomous Age of Generative AI -- Chapter 6. From Code to Conscience: Ethics and Generative Artificial Intelligence -- Chapter 7. Navigating Ethical Dilemmas in Generative AI: Case Studies and Insights -- Chapter 8. Education in the Era of Generative AI: Understanding the Benefits, Ethics, and Challenges -- Chapter 9. The Ethical Dilemma of Using (Generative) AI to Science and Research -- Chapter 10. Ethical Leadership in the Age of AI -- Chapter 11. Exploring Ethical Dimensions of AI Assistants and Chatbots -- Chapter 12. Transformative Potential and Ethical Challenges of Generative AI in E-Commerce: Data Bias, Algorithm Bias -- Chapter 13. Ethical Use of AI in Criminal Justice System -- Chapter 14. Responsible AI Implementation in the Hospitality Sector: Ethical Challenges and Solutions for VR and AR Applications -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 09/30/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Artificial intelligence |x Social aspects. | |
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| 650 | 0 | |a Human-computer interaction. | |
| 653 | |a Augmented Reality (AR) | ||
| 653 | |a Chatbots. | ||
| 653 | |a Criminal Justice. | ||
| 653 | |a Data Bias. | ||
| 653 | |a Data Privacy. | ||
| 653 | |a E-Commerce. | ||
| 653 | |a Ethical Challenges. | ||
| 653 | |a Ethical Leadership. | ||
| 653 | |a Ethical Standards. | ||
| 653 | |a Generative Artificial Intelligence (GAI) | ||
| 653 | |a Hospitality Sector. | ||
| 653 | |a Metaverse. | ||
| 653 | |a Research. | ||
| 653 | |a Virtual Reality (VR) | ||
| 655 | 4 | |a Electronic books. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| contents | Preface -- Chapter 1. Generative Insights Unveiling AI's Evolution and Algorithms -- Chapter 2. The Era of Metaverse and Generative Artificial Intelligence -- Chapter 3. The Evolution of Ethical Standards and Guidelines in AI -- Chapter 4. The Pillars of AI Ethics: Transparency, Accountability, and Privacy -- Chapter 5. Navigating the Ethereal Waters: Establishing Accountability in the Autonomous Age of Generative AI -- Chapter 6. From Code to Conscience: Ethics and Generative Artificial Intelligence -- Chapter 7. Navigating Ethical Dilemmas in Generative AI: Case Studies and Insights -- Chapter 8. Education in the Era of Generative AI: Understanding the Benefits, Ethics, and Challenges -- Chapter 9. The Ethical Dilemma of Using (Generative) AI to Science and Research -- Chapter 10. Ethical Leadership in the Age of AI -- Chapter 11. Exploring Ethical Dimensions of AI Assistants and Chatbots -- Chapter 12. Transformative Potential and Ethical Challenges of Generative AI in E-Commerce: Data Bias, Algorithm Bias -- Chapter 13. Ethical Use of AI in Criminal Justice System -- Chapter 14. Responsible AI Implementation in the Hospitality Sector: Ethical Challenges and Solutions for VR and AR Applications -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00006844 (OCoLC)1459227673 |
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| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00354414 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:39Z |
| institution | BVB |
| isbn | 9798369391754 |
| language | English |
| oclc_num | 1459227673 |
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| physical | 20 PDFs (472 Seiten) Also available in print. |
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| publishDate | 2025 |
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| series | Advances in computational intelligence and robotics (ACIR) book series. |
| series2 | Advances in computational intelligence and robotics (ACIR) book series |
| spelling | Gaur, Loveleen, author. Responsible implementations of generative AI for multidisciplinary use Loveleen Gaur. Responsible implementations of generative artificial intelligence for multidisciplinary use Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 20 PDFs (472 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Advances in computational intelligence and robotics (ACIR) book series Includes bibliographical references and index. Preface -- Chapter 1. Generative Insights Unveiling AI's Evolution and Algorithms -- Chapter 2. The Era of Metaverse and Generative Artificial Intelligence -- Chapter 3. The Evolution of Ethical Standards and Guidelines in AI -- Chapter 4. The Pillars of AI Ethics: Transparency, Accountability, and Privacy -- Chapter 5. Navigating the Ethereal Waters: Establishing Accountability in the Autonomous Age of Generative AI -- Chapter 6. From Code to Conscience: Ethics and Generative Artificial Intelligence -- Chapter 7. Navigating Ethical Dilemmas in Generative AI: Case Studies and Insights -- Chapter 8. Education in the Era of Generative AI: Understanding the Benefits, Ethics, and Challenges -- Chapter 9. The Ethical Dilemma of Using (Generative) AI to Science and Research -- Chapter 10. Ethical Leadership in the Age of AI -- Chapter 11. Exploring Ethical Dimensions of AI Assistants and Chatbots -- Chapter 12. Transformative Potential and Ethical Challenges of Generative AI in E-Commerce: Data Bias, Algorithm Bias -- Chapter 13. Ethical Use of AI in Criminal Justice System -- Chapter 14. Responsible AI Implementation in the Hospitality Sector: Ethical Challenges and Solutions for VR and AR Applications -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 09/30/2024). Artificial intelligence. Artificial intelligence Social aspects. Computers Social aspects. Human-computer interaction. Augmented Reality (AR) Chatbots. Criminal Justice. Data Bias. Data Privacy. E-Commerce. Ethical Challenges. Ethical Leadership. Ethical Standards. Generative Artificial Intelligence (GAI) Hospitality Sector. Metaverse. Research. Virtual Reality (VR) Electronic books. IGI Global, publisher. Print version: 9798369391730 Advances in computational intelligence and robotics (ACIR) book series. |
| spellingShingle | Gaur, Loveleen Responsible implementations of generative AI for multidisciplinary use Advances in computational intelligence and robotics (ACIR) book series. Preface -- Chapter 1. Generative Insights Unveiling AI's Evolution and Algorithms -- Chapter 2. The Era of Metaverse and Generative Artificial Intelligence -- Chapter 3. The Evolution of Ethical Standards and Guidelines in AI -- Chapter 4. The Pillars of AI Ethics: Transparency, Accountability, and Privacy -- Chapter 5. Navigating the Ethereal Waters: Establishing Accountability in the Autonomous Age of Generative AI -- Chapter 6. From Code to Conscience: Ethics and Generative Artificial Intelligence -- Chapter 7. Navigating Ethical Dilemmas in Generative AI: Case Studies and Insights -- Chapter 8. Education in the Era of Generative AI: Understanding the Benefits, Ethics, and Challenges -- Chapter 9. The Ethical Dilemma of Using (Generative) AI to Science and Research -- Chapter 10. Ethical Leadership in the Age of AI -- Chapter 11. Exploring Ethical Dimensions of AI Assistants and Chatbots -- Chapter 12. Transformative Potential and Ethical Challenges of Generative AI in E-Commerce: Data Bias, Algorithm Bias -- Chapter 13. Ethical Use of AI in Criminal Justice System -- Chapter 14. Responsible AI Implementation in the Hospitality Sector: Ethical Challenges and Solutions for VR and AR Applications -- Compilation of References -- About the Contributors -- Index. Artificial intelligence. Artificial intelligence Social aspects. Computers Social aspects. Human-computer interaction. |
| title | Responsible implementations of generative AI for multidisciplinary use |
| title_alt | Responsible implementations of generative artificial intelligence for multidisciplinary use |
| title_auth | Responsible implementations of generative AI for multidisciplinary use |
| title_exact_search | Responsible implementations of generative AI for multidisciplinary use |
| title_full | Responsible implementations of generative AI for multidisciplinary use Loveleen Gaur. |
| title_fullStr | Responsible implementations of generative AI for multidisciplinary use Loveleen Gaur. |
| title_full_unstemmed | Responsible implementations of generative AI for multidisciplinary use Loveleen Gaur. |
| title_short | Responsible implementations of generative AI for multidisciplinary use |
| title_sort | responsible implementations of generative ai for multidisciplinary use |
| topic | Artificial intelligence. Artificial intelligence Social aspects. Computers Social aspects. Human-computer interaction. |
| topic_facet | Artificial intelligence. Artificial intelligence Social aspects. Computers Social aspects. Human-computer interaction. Electronic books. |
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