<p>The book compiles technologies for enhancing and provisioning security, privacy and trust in cloud systems based on Quality of Service requirements. It is a timely contribution to a field that is gaining considerable research interest, momentum, and provides a comprehensive coverage of technologi
Improving security, privacy, and trust in cloud computing /
β Scribed by edited by: Pawan Goel, Hari Pandey, Amit Singhal, Sanyam Agarwal.
- Publisher
- Engineering Science Reference
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AIβs multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.
β¦ Table of Contents
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Foreword
Preface
Acknowledgment
Chapter 1: AI and Equity in Higher Education
Chapter 2: Artificial Intelligence in Different Business Domains
Chapter 3: Bias and Fairness in AI Technology
Chapter 4: Ethical Considerations in the Educational Use of Generative AI Technologies
Chapter 5: Ethical Navigations
Chapter 6: Exploring the Transformative Potential and Generative AI's Multifaceted Impact on Diverse Sectors
Chapter 7: For Better or for Worse?
Chapter 8: Harnessing the Power of Artificial Intelligence in Law Enforcement
Chapter 9: Lensing Legal Dynamics for Examining Responsibility and Deliberation of Generative AI-Tethered Technological Privacy Concerns
Chapter 10: Navigating the Legal and Ethical Framework for Generative AI
Chapter 11: Navigating the Legal Landscape of AI-Induced Property Damage
Chapter 12: Navigating the Quandaries of Artificial Intelligence-Driven Mental Health Decision Support in Healthcare
Chapter 13: Sustainable Islamic Financial Inclusion
Compilation of References
About the Contributors
Index
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