Elgar companion to regulating AI and big data in emerging economies

Committed to highlighting the regulatory needs and priorities of emerging economies in the context of AI and big data, this expertly crafted Companion explores the nature and role of regulation in the Global South from a techno-dependent societal perspective. It not only amplifies the unspoken and u...

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Main Authors: FINDLAY, Mark, ONG, Li Min, ZHANG, Wenxi
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sol_research/4505
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sol_research-64632024-08-22T02:48:03Z Elgar companion to regulating AI and big data in emerging economies FINDLAY, Mark ONG, Li Min ZHANG, Wenxi Committed to highlighting the regulatory needs and priorities of emerging economies in the context of AI and big data, this expertly crafted Companion explores the nature and role of regulation in the Global South from a techno-dependent societal perspective. It not only amplifies the unspoken and underrepresented voices in AI and data regulation scholarly discourse, but also provides a novel approach to otherwise recipient economies in an age of digital transformation. 2023-12-05T08:00:00Z text https://ink.library.smu.edu.sg/sol_research/4505 info:doi/10.4337/9781785362408 Research Collection Yong Pung How School Of Law eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Science and Technology Law
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial Intelligence and Robotics
Science and Technology Law
spellingShingle Artificial Intelligence and Robotics
Science and Technology Law
FINDLAY, Mark
ONG, Li Min
ZHANG, Wenxi
Elgar companion to regulating AI and big data in emerging economies
description Committed to highlighting the regulatory needs and priorities of emerging economies in the context of AI and big data, this expertly crafted Companion explores the nature and role of regulation in the Global South from a techno-dependent societal perspective. It not only amplifies the unspoken and underrepresented voices in AI and data regulation scholarly discourse, but also provides a novel approach to otherwise recipient economies in an age of digital transformation.
format text
author FINDLAY, Mark
ONG, Li Min
ZHANG, Wenxi
author_facet FINDLAY, Mark
ONG, Li Min
ZHANG, Wenxi
author_sort FINDLAY, Mark
title Elgar companion to regulating AI and big data in emerging economies
title_short Elgar companion to regulating AI and big data in emerging economies
title_full Elgar companion to regulating AI and big data in emerging economies
title_fullStr Elgar companion to regulating AI and big data in emerging economies
title_full_unstemmed Elgar companion to regulating AI and big data in emerging economies
title_sort elgar companion to regulating ai and big data in emerging economies
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/sol_research/4505
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