Product Development within Artificial Intelligence, Ethics and Legal Risk

Exemplary for Safe Autonomous Vehicles

(Autor)

Buch | Softcover
XLII, 248 Seiten
2022 | 1st ed. 2022
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-34292-0 (ISBN)

Lese- und Medienproben

Product Development within Artificial Intelligence, Ethics and Legal Risk - Thomas Winkle
42,79 inkl. MwSt

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.


lt;b>The author
Thomas Winkle (PhD Engineering, MBA) 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". He benefits from three decades as expert at Volkswagen, Audi, Daimler and Mercedes Benz research as well as lecturing at Technical University of Munich. Thomas Winkle received the Volkswagen research award for his significant input into the development of the Automatic Emergency Brake. Within Audi AG, he was responsible to prepare the ADAS Code of Practice. As an expert at international courts, he combines the topics Artificial Intelligence, ethics, legal risks using Autonomous Vehicles example definition requirements

Introduction.- Findings From Traffic Accident Analysis.- Analysis Of Poor Visibility Real-World Test Scenarios.- Technical, Legal, And Economic Risks.- Qualitative Interviews With Developers.- Consulting Concept To Develop New Systems.- Summary And Discussion.- Summary And Discussion.

Erscheinungsdatum
Zusatzinfo XLII, 248 p. 74 illus., 64 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Gewicht 384 g
Themenwelt Technik Fahrzeugbau / Schiffbau
Technik Maschinenbau
Schlagworte Artificial Intelligence • Automated Driving • autonomous vehicle • Customer/Consumer Protection • Deep Residual Learning • Image Recognition • open access
ISBN-10 3-658-34292-7 / 3658342927
ISBN-13 978-3-658-34292-0 / 9783658342920
Zustand Neuware
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