Legal and regulatory issues on artificial intelligence, machine learning, data science, and big data
Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2022
Abstract
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.
Keywords
Legal regime, AI regulation, artificial intelligence, machine learning, data science, big data
Discipline
Artificial Intelligence and Robotics | Science and Technology Law
Research Areas
Data Science and Engineering
Publication
HCI International 2022: Late breaking papers, Virtual, June 26 - July 1: Proceedings
Volume
13518
First Page
558
Last Page
567
ISBN
9783031217074
Identifier
10.1007/978-3-031-21707-4_40
Publisher
Springer
City or Country
Cham
Citation
WAN, Wai Yee; TSIMPLIS, Michael; SIAU, Keng; YUE, Wei T.; NAH, Fiona Fui-hoon; and YU, Gabriel M..
Legal and regulatory issues on artificial intelligence, machine learning, data science, and big data. (2022). HCI International 2022: Late breaking papers, Virtual, June 26 - July 1: Proceedings. 13518, 558-567.
Available at: https://ink.library.smu.edu.sg/sis_research/9964
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-031-21707-4_40
