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Product Development within Artificial Intelligence, Ethics and Legal Risk Exemplary for Safe Autonomous Vehicles

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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...

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Bibliographic Details
Main Author: Winkle, Thomas (auth)
Format: Electronic Book Chapter
Language:English
Published: Wiesbaden Springer Nature 2022
Subjects:
Automotive technology & trades
Construction & engineering law
Artificial intelligence
Industrial chemistry
Customer/Consumer Protection
Artificial Intelligence
Automated Driving
Autonomous Vehicle
Image Recognition
Deep Residual Learning
Online Access:DOAB: download the publication
DOAB: description of the publication
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Description
Summary: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.
Physical Description:1 electronic resource (248 p.)
ISBN:978-3-658-34293-7
9783658342937
Access:Open Access

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