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Generative AI and Implications for Ethics, Security, and Data Management

2024-08-21 Computers
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Release : 2024-08-21
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Book Synopsis Generative AI and Implications for Ethics, Security, and Data Management by : Gomathi Sankar, Jeganathan

Download or read book Generative AI and Implications for Ethics, Security, and Data Management written by Gomathi Sankar, Jeganathan. This book was released on 2024-08-21. Available in PDF, EPUB and Kindle. Book excerpt: As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.

Exploring the Ethical Implications of Generative AI

2024-04-04 Computers
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Release : 2024-04-04
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Book Synopsis Exploring the Ethical Implications of Generative AI by : Ara, Aftab

Download or read book Exploring the Ethical Implications of Generative AI written by Ara, Aftab. This book was released on 2024-04-04. Available in PDF, EPUB and Kindle. Book excerpt: 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 AI's 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.

Generative AI Security

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Book Rating : 525/5 ( reviews)

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Book Synopsis Generative AI Security by : Ken Huang

Download or read book Generative AI Security written by Ken Huang. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

AI Data Privacy and Protection

2024-07-08 Computers
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Release : 2024-07-08
Genre : Computers
Kind : eBook
Book Rating : 210/5 ( reviews)

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Book Synopsis AI Data Privacy and Protection by : Justin Ryan

Download or read book AI Data Privacy and Protection written by Justin Ryan. This book was released on 2024-07-08. Available in PDF, EPUB and Kindle. Book excerpt: Empowers business leaders and IT professionals with a deep understanding of the capabilities challenges and capacity of AI-driven data solutions. This book explores the rapidly evolving intersection of artificial intelligence (AI) and data management. By highlighting best practices case studies and future trends it provides a roadmap for organizations striving to harness AI's power in managing and leveraging their data for competitive advantage. This roadmap encompasses the monitoring detection and response required in areas of AI security risk management ethics privacy ethics and regulations. At the confluence of artificial intelligence and data management lies a transformative potential that promises to redefine the future of business governance and innovation. This book delves deep into this nexus unraveling its complexities and illuminating its vast possibilities. Through expert insights real-world examples and forward-thinking analyses we embark on a journey to explore the transformative power of AI in data management the ethical considerations it brings forth and the strategic imperatives for businesses in the AI era. It's not just about understanding technology-it's about envisioning a future where data powered by AI becomes the cornerstone of decision-making strategy and value creation from the practitioner to the Board of Directors. We wrote this book for a diverse audience encompassing business leaders aiming to integrate AI into their strategic vision IT professionals striving to stay ahead in the dynamic realm of data management data scientists eager to leverage AI's transformative capabilities and students venturing into the world of AI and data. It is equally relevant for policymakers consultants and educators interested in the broader implications of AI-driven data solutions. By focusing on a balance of conceptual knowledge practical insights and future trends this book ensures that readers from various backgrounds and expertise levels find content that resonates with their interests and professional needs. Whether you're a seasoned executive an emerging tech enthusiast or someone curious about the AI-driven future this book offers a comprehensive lens through which to view and engage with the evolving landscape of AI and data management.

Responsible Implementations of Generative AI for Multidisciplinary Use

2024-09-18 Computers
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Release : 2024-09-18
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Book Synopsis Responsible Implementations of Generative AI for Multidisciplinary Use by : Gaur, Loveleen

Download or read book Responsible Implementations of Generative AI for Multidisciplinary Use written by Gaur, Loveleen. This book was released on 2024-09-18. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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