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

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

Generative AI and Implications for Ethics, Security, and Data Management Hardback - 2024

by Jeganathan Gomathi Sankar (Editor); Arokiaraj David (Editor)

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Details

  • Title Generative AI and Implications for Ethics, Security, and Data Management
  • Author Jeganathan Gomathi Sankar (Editor); Arokiaraj David (Editor)
  • Binding Hardback
  • Condition New
  • Pages 476
  • Volumes 1
  • Language ENG
  • Publisher IGI Global
  • Publication date 2024-08-21
  • Bookseller's Inventory # ria9798369385579_inp
  • ISBN 9798369385579
  • Weight 2.29 lbs (1.04 kg)
  • Dimensions 10 x 7 x 1.06 in (25.40 x 17.78 x 2.69 cm)
  • Category Computers - General Information
  • Quantity available 632

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From the publisher

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.

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