Price: $0.00
(as of Nov 22,2024 18:18:35 UTC – Details)

ASIN ‏ : ‎ B09ZHK6XTF
Publisher ‏ : ‎ Springer Vieweg (May 3, 2022)
Publication date ‏ : ‎ May 3, 2022
Language ‏ : ‎ English
File size ‏ : ‎ 32928 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Enabled
Print length ‏ : ‎ 396 pages

In the fast-evolving field of artificial intelligence (AI), the development of safe autonomous vehicles is a top priority. As technology advances, it is crucial for companies to consider the ethical and legal risks associated with AI in order to ensure the safety and well-being of users.

One exemplary approach to product development within AI, ethics, and legal risk is to implement a comprehensive risk assessment process. This process should involve evaluating potential ethical dilemmas that may arise from the use of AI in autonomous vehicles, such as privacy concerns, bias in decision-making algorithms, and the potential for accidents resulting from system failures.

Additionally, companies should prioritize transparency and accountability in their product development process. This includes clearly communicating the capabilities and limitations of AI systems to users, as well as establishing mechanisms for oversight and accountability in case of ethical or legal breaches.

Furthermore, companies should actively engage with stakeholders, including regulatory bodies, advocacy groups, and the general public, in order to address concerns and ensure that autonomous vehicles are developed in a responsible and ethical manner.

By taking a proactive approach to product development within AI, ethics, and legal risk, companies can help ensure the safe and responsible deployment of autonomous vehicles, while also building trust and credibility with users and stakeholders.
#Product #Development #Artificial #Intelligence #Ethics #Legal #Risk #Exemplary #Safe #Autonomous #Vehicles