Regulating the Use of Artificially Intelligent Driving Algorithms Within the Artificial Intelligence & Internet of Things (AIoT)
DOI:
https://doi.org/10.62051/ijcsit.v5n2.15Keywords:
Artificial Intelligence IoT (AIoT), Algorithms, Automated Decision Making, Algorithmic AuditingAbstract
The advancement of the underlying technology and hardware devices of the Internet of Things (IoT) has led to the emergence of several new applications that are influencing the progress of human society in the era of the Artificial Intelligence IoT (AIoT). The application of AIoT has not only revolutionized the efficiency of human social life but also brought about moral and ethical hazards as well as legal issues. At a technological level, the algorithmic mechanism of AI driving is more complex than typical machine learning and requires regulation because to its automated decision-making process. The design of algorithmic regulation for AI driving should prioritize system safety, continuous improvement of regulation technology, implementation of algorithmic audit mode, and enhancement of overall efficiency in regulating algorithms.
Downloads
References
[1] Guo Bin, Liu Sicong, Liu Yan, Li Zhigang1, et al. AIoT: The Concept, Architecture and Key Techniques. Chinese Journal Of Computers, 11(46), 2260-2261(2023).
[2] https://www.thepaper.cn/newsDetail_forward_28245164, last accessed 2024/07/11.
[3] WANG Kejun, ZHAO Yandong, XING Xianglei. deep learning in driverless vehicles. caai transactions on intelligent systems, 13(1), 55 -69(2018).
[4] Jin Meng, Legislative Ethics and Algorithmic Justice- Legal Regulation on the Behavior of Algorithm Subjects. Tribune of Political Science and Law, 1(39), 30(2021).
[5] Cao Jianfeng, On Algorithmic Safety Regulation of Self-Driving Cars. Journal of the East China University of Politics & Law, 2, 29-30(2023).
[6] Kong Xiangwen, Regulatory Reform on Artificial Intelligence Risks: On the Regulations of Autonomous Vehicles, Administrative Law Review, 4, 22(2022).
[7] Zheng Ge, The Law of Algorithms and the Algorithms of Law. China Law Review, 2, 73(2018).
[8] Shea Brown, Jovana Davidovic and Ali Hasan, The Algorithm Audit: Scoring the Algorithms that Score Us. Big Data & Society, 1(8), 1-8(2021).
[9] Zhang Tao, Regulating automated decision-making through algorithmic auditing: a socio-technical systems theory perspective. Peiking University Law Journal, 1, 274-278(2024).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Computer Science and Information Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







