Legal and regulatory issues on artificial intelligence, machine learning, data science, and big data

Legal and regulatory issues on artificial intelligence, machine learning, data science, and big data

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 sur...

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Bibliographic Details
Main Authors: WAN, Wai Yee, TSIMPLIS, Michael, SIAU, Keng, YUE, Wei T., NAH, Fiona Fui-hoon, YU, Gabriel M.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Legal regime
AI regulation
artificial intelligence
machine learning
data science
big data
Artificial Intelligence and Robotics
Science and Technology Law
Online Access:https://ink.library.smu.edu.sg/sis_research/9964
https://ink.library.smu.edu.sg/context/sis_research/article/10964/viewcontent/LegalRegulatoryIssuesonAIML_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/9964
https://ink.library.smu.edu.sg/context/sis_research/article/10964/viewcontent/LegalRegulatoryIssuesonAIML_av.pdf

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