Towards a Code of Ethics for Artificial Intelligence

 
 
Springer (Verlag)
  • erschienen am 23. August 2018
 
  • Buch
  • |
  • Softcover
  • |
  • 144 Seiten
978-3-319-86905-6 (ISBN)
 
The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics.
The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.
Softcover reprint of the original 1st ed. 2017
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
XIX, 124 p.
  • Höhe: 236 mm
  • |
  • Breite: 162 mm
  • |
  • Dicke: 12 mm
  • 231 gr
978-3-319-86905-6 (9783319869056)
10.1007/978-3-319-60648-4
weitere Ausgaben werden ermittelt

Introduction to AI and Ethics.- What Do We Need to Understand About Ethics?.- What's Special About Ethical Questions in AI?.- Codes of Professional Ethics.- How AI Challenges Professional Ethics.- Developing Codes of Ethics Amidst Fast Technological Change.- Some Characteristic Pitfalls and Questions in Considering Ethics of AI.- Some Suggestions for How to Proceed.

The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics.
The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.
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