Comparing EU and UK approaches towards AI regulation: lessons for Singapore

Comparing EU and UK approaches towards AI regulation: lessons for Singapore

The acceleration of Artificial Intelligence (AI) globally has sparked a wave of innovation and technological advancement. There is a growing need to adequately regulate the field of AI in a manner that protects the consumers without stifling innovation within the tech industry as authorities scrambl...

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Bibliographic Details
Main Author: Foo, Desyre Kai En
Other Authors: Chou Meng-Hsuan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Social Sciences
Artificial intelligence
Legislation
Regulation
Rule utilitarianism
Online Access:https://hdl.handle.net/10356/175585
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-175585
record_format dspace
spelling sg-ntu-dr.10356-1755852024-05-05T15:32:23Z Comparing EU and UK approaches towards AI regulation: lessons for Singapore Foo, Desyre Kai En Chou Meng-Hsuan Christina Chuang School of Social Sciences Hsuan@ntu.edu.sg, CChuang@ntu.edu.sg Social Sciences Artificial intelligence Legislation Regulation Rule utilitarianism The acceleration of Artificial Intelligence (AI) globally has sparked a wave of innovation and technological advancement. There is a growing need to adequately regulate the field of AI in a manner that protects the consumers without stifling innovation within the tech industry as authorities scramble to regulate and evaluate its repercussions. This paper utilises rule utilitarianism as a theory to develop a Singaporean approach to AI regulations. In so doing, it will analyse the differing approaches of the European Union (EU) and the United Kingdom (UK) as case studies to better develop an approach suitable for Singapore Bachelor's degree 2024-04-30T05:55:48Z 2024-04-30T05:55:48Z 2024 Final Year Project (FYP) Foo, D. K. E. (2024). Comparing EU and UK approaches towards AI regulation: lessons for Singapore. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175585 https://hdl.handle.net/10356/175585 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social Sciences
Artificial intelligence
Legislation
Regulation
Rule utilitarianism
spellingShingle Social Sciences
Artificial intelligence
Legislation
Regulation
Rule utilitarianism
Foo, Desyre Kai En
Comparing EU and UK approaches towards AI regulation: lessons for Singapore
description The acceleration of Artificial Intelligence (AI) globally has sparked a wave of innovation and technological advancement. There is a growing need to adequately regulate the field of AI in a manner that protects the consumers without stifling innovation within the tech industry as authorities scramble to regulate and evaluate its repercussions. This paper utilises rule utilitarianism as a theory to develop a Singaporean approach to AI regulations. In so doing, it will analyse the differing approaches of the European Union (EU) and the United Kingdom (UK) as case studies to better develop an approach suitable for Singapore
author2 Chou Meng-Hsuan
author_facet Chou Meng-Hsuan
Foo, Desyre Kai En
format Final Year Project
author Foo, Desyre Kai En
author_sort Foo, Desyre Kai En
title Comparing EU and UK approaches towards AI regulation: lessons for Singapore
title_short Comparing EU and UK approaches towards AI regulation: lessons for Singapore
title_full Comparing EU and UK approaches towards AI regulation: lessons for Singapore
title_fullStr Comparing EU and UK approaches towards AI regulation: lessons for Singapore
title_full_unstemmed Comparing EU and UK approaches towards AI regulation: lessons for Singapore
title_sort comparing eu and uk approaches towards ai regulation: lessons for singapore
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175585
_version_ 1814047396910333952

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