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[]
[]
[null,"Prepared By:","Contributors:"]
[null,"Rajah & Tann Singapore LLP","Rajesh Sreenivasan"]
[]
[]
[]
["AI Legislative Guide"]
[]
["Report Generated: 11/19/2025"]
[]
["View your report results on next tab"]

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["Question","Singapore"]
["Overview"]
["Has specific legislation, final regulations or other formal regulatory guidance addressing the use of AI in your jurisdiction been implemented (vs reliance on existing legislation around IP, cyber, data privacy, etc.)?\n\n*Please note that EU rules are applicable in all EU Member States*","No. Singapore does not have any laws or regulations specifically addressing the use of AI. However, it does have various sectorial and voluntary frameworks concerning the use of AI, as well as binding laws and regulations in other domains, such as data protection (\nPersonal Data Protection Act 2012), copyright (\nCopyright Act 2021) and online safety (\nOnline Criminal Harms Act 2023, Protection from Online Falsehoods and Manipulation Act 2014), that may be applicable.\n"]
["Please provide a short summary of the legislation/regulations/guidance and explain how legislators aim to strike the balance between innovation and regulation.\n\n*Please note that EU rules are applicable in all EU Member States*","Singapore has thus far adopted a sectoral and voluntary approach towards AI governance, in order to achieve the 2 goals set out in \nSingapore’s National AI Strategy 2.0: to advance the field of AI and maximize value creation, and to empower individuals, businesses and communities to use AI with confidence, discernment and trust. For example, in the financial sector, the Monetary Authority of Singapore (\"\nMAS\") issued the \nFairness, Ethics, Accountability and Transparency (\"FEAT\") principles in 2018 to guide the responsible use of AI. The \nMAS then worked with industry partners in the financial sector to create the \nVeritas Framework in 2019, to provide financial institutions with a verifiable way to incorporate the \nFEAT principles into their AI and data analytics-driven solutions. In the healthcare sector, the Ministry of Health (\"\nMOH\") published the \nAI in Healthcare Guidelines in 2021 to support patient safety and improve trust in the use of AI in healthcare. On a broader level, the Info-communications Media Development Authority (\"\nIMDA\") and Personal Data Protection Commission (\"\nPDPC\") launched the \nModel AI Governance Framework in 2019 which aims to provide private sector organizations with readily implementable guidance on key ethical and governance issues when deploying AI solutions. This was updated in 2020 together with an Implementation and \nSelf-Assessment Guide for Organisations to help organizations assess the alignment of their AI governance practices with the \nModel Framework. In 2022, the \nIMDA also launched AI Verify, an AI governance testing framework and software toolkit that validates the performance of AI systems against a set of internationally recognized principles through standardized tests. In March 2024, the \nPDPC also issued a set of \nAdvisory Guidelines on the \nUse of Personal Data in AI Recommendation and Decision Systems to provide organizations with more clarity on the use of personal data to train or develop AI to support their efforts to implement AI. In July 2024, the \nPDPC also introduced a proposed guide on synthetic data (\"\nSD\") generation which it jointly developed with the Singapore Agency for Science, Technology and Research (“\nA*STAR”) to assist organizations in understanding \nSD generation techniques and potential use cases, particularly for AI.\n"]
["Which agency regulates the use of AI in your jurisdiction?\n\n*Please note that EU rules are applicable in all EU Member States*","There is no specific agency in Singapore that regulates the use of AI. However, the \nIMDA has been spearheading efforts in the development of various voluntary guidelines and toolkits, so as to assist organizations and industry players in aligning their business practices with international ethical and governance standards. The \nPDPC has also issued various guidelines to provide organizations with clarity on the use of personal data to train or develop AI. In addition, sectoral regulators such as the \nMAS and \nMOH continue to play important roles in regulating the adoption of AI within their sectors.\n"]