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Product Development within Artificial Intelligence, Ethics and Legal Risk

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datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Thomas Winkle
dc.date.accessioned 2023-06-17T01:54:09Z
dc.date.available 2023-06-17T01:54:09Z
dc.date.issued 2022
dc.description DOI: https://doi.org/10.1007/978-3-658-34293-7 License: CC BY; Publisher: Springer
dc.description.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. This work is licensed under a CC BY
dc.identifier.doi https://doi.org/10.1007/978-3-658-34293-7
dc.identifier.isbn 9783658342937
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5544
dc.language.iso en
dc.subject "Consumer Protection
dc.subject Artificial Intelligence
dc.subject Automated Driving
dc.subject Autonomous Vehicle
dc.subject Image Recognition
dc.subject Deep Residual Learning
dc.subject Open Access."
dc.title Product Development within Artificial Intelligence, Ethics and Legal Risk
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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