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    Product Development within Artificial Intelligence, Ethics and Legal Risk

    Exemplary for Safe Autonomous Vehicles

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    Author(s)
    Winkle, Thomas
    Language
    English
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    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/54446
    Keywords
    Customer/Consumer Protection; Artificial Intelligence; Automated Driving; Autonomous Vehicle; Image Recognition; Deep Residual Learning
    DOI
    10.1007/978-3-658-34293-7
    ISBN
    9783658342937, 9783658342937
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Wiesbaden, 2022
    Imprint
    Springer Vieweg
    Classification
    Automotive technology & trades
    Construction & engineering law
    Artificial intelligence
    Industrial chemistry
    Pages
    248
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    Credits

    • logo Scoss
    • logo EU
    • logo Scoss
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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