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: Introduction to responsible AI
    sub title: implement ethical AI using Python
  name:
    name part: Manure, Avinash
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Bengani, Shaleen
    role:
      role term: author.
  name:
    name part: S, Saravanan
    role:
      role term: author.
  type of resource: text
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: cau
    date issued: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, youll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AIs profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. You will: Understand the principles of responsible AI and their importance in today's digital world Master techniques to detect and mitigate bias in AI Explore methods and tools for achieving transparency and explainability Discover best practices for privacy preservation and security in AI Gain insights into designing robust and reliable AI models.
  table of contents: Chapter 1: Introduction -- Chapter 2: Bias and Fairness -- Chapter 3: Transparency and Explainability -- Chapter 4: Privacy and Security -- Chapter 5: Ensuring Robustness and Reliability -- Chapter 6: Conclusion.
  note: Avinash Manure, Shaleen Bengani, Saravanan S.
  note: Includes index.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  subject:
    topic: Artificial intelligence
    topic: Moral and ethical aspects
  subject:
    topic: Python (Computer program language)
  related item:
    identifier: (OCoLC)1396693043
  identifier: 9781484299821
  identifier: 1484299825
  identifier: 1484299817
  identifier: 9781484299814
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: YDX
    record creation date: 231125
    record change date: 20240717213016.0
    record identifier: kn-on1410562127
    language of cataloging:
      language term: eng