Product Development within Artificial Intelligence, Ethics and Legal Risk
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...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Online |
| Kieli: | englanti |
| Julkaistu: |
Springer Nature
2022
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| Aiheet: | |
| Linkit: | ONIX_20220513_9783658342937_38 |
| Tagit: |
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| _version_ | 1869528639238832128 |
|---|---|
| author | Winkle, Thomas |
| author_browse | Winkle, Thomas |
| author_facet | Winkle, Thomas |
| author_sort | Winkle, Thomas |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-81669 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-816692025-03-15T16:48:16Z Product Development within Artificial Intelligence, Ethics and Legal Risk Winkle, Thomas Customer/Consumer Protection Artificial Intelligence Automated Driving Autonomous Vehicle Image Recognition Deep Residual Learning 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. 2022-05-14T04:02:22Z 2022-05-14T04:02:22Z 2022-05-13T12:19:34Z 2022 book ONIX_20220513_9783658342937_38 OCN: 1315745178 https://library.oapen.org/handle/20.500.12657/54446 9783658342937 https://directory.doabooks.org/handle/20.500.12854/81669 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/54446/1/978-3-658-34293-7.pdf https://library.oapen.org/bitstream/20.500.12657/54446/1/978-3-658-34293-7.pdf https://library.oapen.org/bitstream/20.500.12657/54446/1/978-3-658-34293-7.pdf Springer Nature Springer Vieweg 10.1007/978-3-658-34293-7 10.1007/978-3-658-34293-7 9fa3421d-f917-4153-b9ab-fc337c396b5a 9783658342937 Springer Vieweg 248 Wiesbaden open access |
| spellingShingle | Customer/Consumer Protection Artificial Intelligence Automated Driving Autonomous Vehicle Image Recognition Deep Residual Learning Winkle, Thomas Product Development within Artificial Intelligence, Ethics and Legal Risk |
| title | Product Development within Artificial Intelligence, Ethics and Legal Risk |
| title_full | Product Development within Artificial Intelligence, Ethics and Legal Risk |
| title_fullStr | Product Development within Artificial Intelligence, Ethics and Legal Risk |
| title_full_unstemmed | Product Development within Artificial Intelligence, Ethics and Legal Risk |
| title_short | Product Development within Artificial Intelligence, Ethics and Legal Risk |
| title_sort | product development within artificial intelligence ethics and legal risk |
| topic | Customer/Consumer Protection Artificial Intelligence Automated Driving Autonomous Vehicle Image Recognition Deep Residual Learning |
| topic_facet | Customer/Consumer Protection Artificial Intelligence Automated Driving Autonomous Vehicle Image Recognition Deep Residual Learning |
| url | ONIX_20220513_9783658342937_38 |
| work_keys_str_mv | AT winklethomas productdevelopmentwithinartificialintelligenceethicsandlegalrisk |