Singapore has enacted laws and/or issued guidance on Artificial Intelligence (AI). Companies subject to the laws of Singapore should be familiar with all relevant AI-related laws, regulations, and guidance, including those listed below.
Principles, Studies, & Recommendations
These Advisory Guidelines provide:
- Organizations with more clarity on the use of personal data to train or develop AI to support their efforts to implement AI;
- Guidance on information to be provided to consumers when seeking consent;
- Guidance to third-party developers of bespoke AI Systems who may occupy the role of data intermediaries on their obligations under the PDPA; and
- Guidance on best practices to support businesses in their compliance with the PDPA.
The Framework proposes nine dimensions to foster a trusted ecosystem: accountability; data; trusted development and deployment; incident reporting; testing and assurance; security; content provenance; safety and alignment R&D; and AI for public good.
The policy lays out the Singapore government’s AI vision and goals and identifies 15 actions that Singapore will undertake to support its goals over the next 3-5 years.
The Guidelines, developed by the Ministry of Health (MOH), the Health Sciences Authority (HSA) and the Integrated Health Information Systems (IHiS), aim to promote good practices and encourage safe development and implementation of AI in the healthcare industry. In particular, they are meant to serve as a guide for developers and implementers of AI in healthcare and complements the existing HSA regulatory requirements of AI Medical Devices (AI-MDs).
The Framework aims to promote the ethical and responsible use of AI, protecting the interests of individuals and society while fostering innovation and growth.
A set of foundational principles issued by the Monetary Authority on the responsible use of artificial intelligence and data analytics (AIDA) for firms providing financial products and services to consider when using AIDA in decision-making. In addition, they are intended to assist these firms in contextualizing and operationalizing governance of use of AIDA in their own business models and structures and to promote public confidence and trust in the use of AIDA.
Guidance by the Personal Data Protection Commission to help organizations understand synthetic data generation techniques and potential use cases, particularly for AI. The guide includes case studies, a handbook for key considerations and best practices, and reidentification risks.
This guide, issued by the Singapore Computer Society, with support from the Infocomm Media Development Authority (IMDA), provides a comprehensive collation of insights from industry and academia, as well as regulators and end-users, and includes compliance and regulatory issues pertaining to AI development and use. Built on the principles of IMDA’s Model AI Governance Framework, the guide defines what constitutes ethical AI implementation.
The Guidelines are designed to support systems owners that are adopting, or considering the adoption of, AI systems. In particular, the Guidelines identify potential security risks associated with the use of AI and set out recommendations for mitigating security risks at each stage of the AI lifecycle. The Companion Guide, developed in collaboration with AI and cybersecurity practitioners, complements the Guidelines and sets forth practical measures, security controls, and best practices from industry and academia.
An information paper released by the Monetary Authority of Singapore, which consists of its observations from a review of Singapore’s generative AI risk management policies for banks. The paper focuses on the following key areas: AI governance and oversight; key risk management systems and processes; and development and deployment of AI.