Development AI traffic-safety system using RFID technique and USN theory

Kim, Man Ki; Hong, You Sik

doi:10.1504/ijics.2014.068098

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…[8] Secondly, the potential hazards of AI in intelligent transportation, smart manufacturing, logistics, and other fields also need attention. [8,9] In the field of intelligent transportation, AI technology can be used for traffic flow prediction, autonomous driving, and traffic management, but there are also some potential risks, such as vehicle hacking leading to accidents or traffic congestion. In the field of smart manufacturing, AI can help companies achieve automation and intelligence, improve production efficiency, and reduce costs, but it may also lead to employment competition between industrial robots and human workers, causing labor market instability.…”

Section: Introductionmentioning

confidence: 99%

Ethical perspective on AI hazards to humans: A review

Chen,

Luo

et al. 2023

Medicine

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This article explores the potential ethical hazards of artificial intelligence (AI) on society from an ethical perspective. We introduce the development and application of AI, emphasizing its potential benefits and possible negative impacts. We particularly examine the application of AI in the medical field and related ethical and legal issues, and analyze potential hazards that may exist in other areas of application, such as autonomous driving, finance, and security. Finally, we offer recommendations to help policymakers, technology companies, and society as a whole address the potential hazards of AI. These recommendations include strengthening regulation and supervision of AI, increasing public understanding and awareness of AI, and actively exploring how to use the advantages of AI to achieve a more just, equal, and sustainable social development. Only by actively exploring the advantages of AI while avoiding its negative impacts can we better respond to future challenges.

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Section: Introductionmentioning

confidence: 99%