rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Generative AI and implications for ethics, security, and data management
  title info:
    title: Generative artificial intelligence and implications for ethics, security, and data management
  name:
    name part: Sankar, Jeganathan Gomathi
    role:
      role term: editor.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2024
    copyright date: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: "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."--
  table of contents: Preface -- Acknowledgment -- Chapter 1. An Introduction to Generative AI: Crafting Worlds From Code -- Chapter 2. Generative AI: The Impact, Possibilities, and Difficulties -- Chapter 3. Unleashing Creativity in Natural Language: An Overview of Prompting Techniques Used in Large Language Models -- Chapter 4. Generative AI: Applications, Models, Challenges, Opportunities, and Future Directions -- Chapter 5. Ethical Frameworks for Use in Artificial Intelligence Systems -- Chapter 6. Ethical Considerations for Generative AI in Social Science Research -- Chapter 7. Harmonizing Ethics With Artificial Intelligence: A Compassionate Path to Technological Advancement -- Chapter 8. AI-Driven Territorial Intelligence: An Integrated Approach to Enhancing Digital Sovereignty -- Chapter 9. Generative AI for Cybersecurity: An Introduction -- Chapter 10. Guardians of the Digital Realm: Generative AI's Role in Cybersecurity -- Chapter 11. Innovations in Cloud Storage: Leveraging Generative AI for Enhanced Data Management -- Chapter 12. From Data to Insights: Harnessing GeoAI for Informed Decision-Making in Healthcare -- Compilation of References -- About the Contributors -- Index.
  note: [edited by] Jeganathan Gomathi Sankar, Arokiaraj David.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  classification: Q335 .G46 2024
  classification: 006.3
  related item:
    title info:
      title: Advances in computational intelligence and robotics (ACIR) book series
  identifier: 9798369385593 (electronic bk.)
  location:
    physical location: POD
  record info:
    record content source: YDX
    record creation date: 240828
    record change date: 20250810205620.9
    record identifier: in00005658025
    language of cataloging:
      language term: eng