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: Four laws for the artificially intelligent
  name:
    name part: Domowitz, Ian
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ProQuest (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2021
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource ( 1 PDF xv, 272 pages) : illustrations (some color).
  table of contents: Part I. AI seeks an introduction. Chapter 1. You must ask the right questions ; Chapter 2. Originality consists in returning to the origin -- Part II. The first law. Chapter 3. Adaptation is not imitation ; Chapter 4. How big is big data? ; Chapter 5. We need AI to tell us who we are -- Part III. The second law. Chapter 6. Don't change the goals, adjust the action steps ; Chapter 7. Ethics is directed to secure inner perfection ; Chapter 8. Bending acts of government to selfish purpose -- Part IV. The third law. Chapter 9. A price of survival under stress is becoming older ; Chapter 10. AI must pass into communication for its fulfillment ; Chapter 11. Old dogma screams at new truth -- Part V. The fourth law. Chapter 12. Culture is the sum of human behaviors ; Chapter 13. Bits are symbols for concepts communicated by AI ; Chapter 14. Process as culture -- Part VI. AI seeks closure. Chapter 15. Having an affair with your own image ; Chapter 16. A machine for grinding out conclusions
  target audience: specialized
  note: Ian Domowitz.
  note: Includes bibliographical references (pages 257-266) and index.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Organizational learning
  subject:
    topic: Leadership
  subject:
    topic: Artificial intelligence.
  subject:
    topic: AI.
  subject:
    topic: Machine learning.
  subject:
    topic: Data science.
  subject:
    topic: Business culture.
  subject:
    topic: Technology.
  subject:
    topic: Organizational learning.
  subject:
    topic: Entrepreneurship.
  subject:
    topic: Leadership.
  subject:
    topic: Industrial revolution.
  subject:
    topic: Sociology.
  classification: Q335 .D66 2021
  classification: 006.3
  related item:
    title info:
      title: Big data, business analytics, and smart technology collection
  identifier: 9781637421604
  identifier: 1637421605
  identifier: 9781637421598
  identifier: 1637421591
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NYBEP
    record creation date: 190417
    record change date: 20211206101515.0
    record identifier: in00004549043
    language of cataloging:
      language term: eng