Product Development within Artificial Intelligence, Ethics and Legal Risk Exemplary for Safe Autonomous Vehicles
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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Formatua: | Baliabide elektronikoa Liburu kapitulua |
Hizkuntza: | ingelesa |
Argitaratua: |
Wiesbaden
Springer Nature
2022
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Gaiak: | |
Sarrera elektronikoa: | DOAB: download the publication DOAB: description of the publication |
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020 | |a 978-3-658-34293-7 | ||
020 | |a 9783658342937 | ||
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024 | 7 | |a 10.1007/978-3-658-34293-7 |c doi | |
041 | 0 | |a eng | |
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072 | 7 | |a UYQ |2 bicssc | |
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100 | 1 | |a Winkle, Thomas |4 auth | |
245 | 1 | 0 | |a Product Development within Artificial Intelligence, Ethics and Legal Risk |b Exemplary for Safe Autonomous Vehicles |
260 | |a Wiesbaden |b Springer Nature |c 2022 | ||
300 | |a 1 electronic resource (248 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f by/4.0/ |2 cc |4 http://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Automotive technology & trades |2 bicssc | |
650 | 7 | |a Construction & engineering law |2 bicssc | |
650 | 7 | |a Artificial intelligence |2 bicssc | |
650 | 7 | |a Industrial chemistry |2 bicssc | |
653 | |a Customer/Consumer Protection | ||
653 | |a Artificial Intelligence | ||
653 | |a Automated Driving | ||
653 | |a Autonomous Vehicle | ||
653 | |a Image Recognition | ||
653 | |a Deep Residual Learning | ||
856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/20.500.12657/54446/1/978-3-658-34293-7.pdf |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/81669 |7 0 |z DOAB: description of the publication |