The Information Security Risks of the BYOD, From Theoretical Point of View

Fehér-Polgár, Pál; Michelberger, Pál

doi:10.1109/sisy47553.2019.9111514

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…With the gradual introduction of self-driving cars shortly, even those with no driving or car ownership experience will be able to be a part of the traffic and appear on the roads without the need for a driving license. So, the logical argument is that the increase in road traffic is inevitable, and people will prefer cars over public transport and be willing to take longer journeys by car as well (Fehér-Polgár and Michelberger, 2019). Based on this argument, when technological development reaches a fifth level of driving autonomy, self-driving vehicles could lead to an increase in road traffic of up to 14%.…”

Section: Ethical and Trust-related Issuesmentioning

confidence: 99%

Safety of the Introduction of Self-driving Vehicles in a Logistics Environment

Viktor

Szeghegyi

2022

Period. Polytech. Transp. Eng.

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Thanks to the increasing speed of technological development brought by the 21st century, many of the processes in industrial production have been automated. The next big step in this progress of artificial intelligence could potentially be in corporate logistics, road haulage, and even private transport. Naturally, automation within corporations and in critical infrastructure raises ethical and trust-related issues, reflected in the attitude of emerging markets toward this form of development. This research aims to discover the current state of development of self-driving vehicles through comprehensive literary research and to present those ethical problems, the solutions to which are paramount for society to accept and to incorporate the concept of self-driving vehicles. As a result of the analysis of a knowledge-based system with the inductive inference method in primary research, the current strengths and weaknesses of automation in the field of logistics are revealed. The paper summarizes the results of the primary research and projects them for the future of automation.

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Section: Ethical and Trust-related Issuesmentioning

confidence: 99%