Legal and Regulatory Issues on Artificial Intelligence, Machine Learning, Data Science, and Big Data

被引：1
|
作者：
Wan, Wai Yee [1 ]
Tsimplis, Michael [1 ]
Siau, Keng L. [1 ]
Yue, Wei T. [1 ]
Nah, Fiona Fui-Hoon [1 ]
Yu, Gabriel M. [1 ]
机构：
[1] City Univ Hong Kong, Kowloon Tong, Hong Kong, Peoples R China
来源：
HCI INTERNATIONAL 2022 - LATE BREAKING PAPERS: INTERACTING WITH EXTENDED REALITY AND ARTIFICIAL INTELLIGENCE | 2022年 / 13518卷
关键词：
Legal regime; AI regulation; Artificial intelligence; Machine learning; Data science; Big data; DETERRENCE;
D O I：
10.1007/978-3-031-21707-4_40
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Technological innovation creates numerous opportunities for businesses, organizations, and societies. Artificial intelligence, machine learning, data science, and big data provide opportunities for developing self-controlling systems emulating human intelligence. In some instances, these systems surpass the performance of humans. The relationship of innovative technology with the law is an important underpinning factor that is often overlooked. Law may encourage innovation but may also inhibit its development and application by adopting stringent regulatory provisions and liability regimes. This article examines the legal and regulatory issues related to new technologies such as artificial intelligence, machine learning, data science, and big data.
引用
收藏
页码：558 / 567
页数：10
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