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dc.contributor.authorWinkle, Thomas
dc.date.accessioned2022-05-13T12:19:34Z
dc.date.available2022-05-13T12:19:34Z
dc.date.issued2022
dc.identifierONIX_20220513_9783658342937_38
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/54446
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.otherCustomer/Consumer Protection
dc.subject.otherArtificial Intelligence
dc.subject.otherAutomated Driving
dc.subject.otherAutonomous Vehicle
dc.subject.otherImage Recognition
dc.subject.otherDeep Residual Learning
dc.titleProduct Development within Artificial Intelligence, Ethics and Legal Risk
dc.title.alternativeExemplary for Safe Autonomous Vehicles
dc.typebook
oapen.identifier.doi10.1007/978-3-658-34293-7
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isbn9783658342937
oapen.imprintSpringer Vieweg
oapen.pages248
oapen.place.publicationWiesbaden


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