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Product Development within Artificial Intelligence, Ethics and Legal Risk

Exemplary for Safe Autonomous Vehicles

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  • Open Access
  • © 2022

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Table of contents (7 chapters)

Keywords

About this book

This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch.


Authors and Affiliations

  • MBA Communication & Leadership, IU International University, Munich, Germany

    Thomas Winkle

About the author

The author

Thomas Winkle (Prof. Dr.-Ing., MBA Communication & Leadership) is a multiple author in best-selling Springer books such as “Autonomous Driving: Technical, Legal and Social Aspects” or the “Handbook of Driver Assistance Systems”. His work bases on three decades in sustainable team consulting as employee and researcher in the legal departments of three car manufacturers as well as a professor at IU International University and TU Munich. Thomas Winkle received the Volkswagen research award for his significant Human-Centered Design into the development of the Automatic Emergency Brake. He was responsible to prepare the ADAS Code of Practice. As consultant at international courts, he links Artificial Intelligence, Ethics, Sustainable Agile Management, Mindful Communication and Law using Autonomous Vehicles example definition requirements.


Bibliographic Information

  • Book Title: Product Development within Artificial Intelligence, Ethics and Legal Risk

  • Book Subtitle: Exemplary for Safe Autonomous Vehicles

  • Authors: Thomas Winkle

  • DOI: https://doi.org/10.1007/978-3-658-34293-7

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022

  • Softcover ISBN: 978-3-658-34292-0Published: 04 May 2022

  • eBook ISBN: 978-3-658-34293-7Published: 03 May 2022

  • Edition Number: 1

  • Number of Pages: XLII, 248

  • Number of Illustrations: 10 b/w illustrations, 64 illustrations in colour

  • Topics: Automotive Engineering, Building Law, Computational Intelligence, Industrial Chemistry/Chemical Engineering

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