Product Development within Artificial Intelligence, Ethics and Legal Risk Exemplary for Safe Autonomous Vehicles

• Auteur principal: Winkle, Thomas (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Wiesbaden Springer Nature 2022
• Sujets: Automotive technology & trades; Construction & engineering law; Artificial intelligence; Industrial chemistry; Customer/Consumer Protection; Artificial Intelligence; Automated Driving; Autonomous Vehicle; Image Recognition; Deep Residual Learning
• Accès en ligne: OAPEN Library: download the publication; OAPEN Library: description of the publication

Résumé

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.

Description matérielle

1 electronic resource (248 p.)

ISBN

978-3-658-34293-7
9783658342937

Accès

Open Access