Artificial Intelligence (AI) refers to the study and use of intelligent machines to mimic human action and thought. With the availability of Big Data, advances in computing, and invention of new algorithms, AI has risen as a disruptive technology in recent years.

Leveraging opportunities in AI to improve lives and transform businesses

Whether it’s rendering better healthcare or servicing the banking needs of our seniors, AI can be applied to a variety of industries to create better living, stronger communities and more opportunities for all.

With much to gain, Singapore is looking to develop niches within AI R&D, building local capabilities and fostering partnerships across relevant parties.

AI SG (AI Singapore)

AI SG is a national programme to catalyse, synergise and boost Singapore’s AI capabilities. It is driven by a partnership between the National Research Foundation (NRF), the Smart Nation and Digital Government Office (SNDGO), the Economic Development Board (EDB), the Infocomm Media Development Authority (IMDA), SGInnovate and the Integrated Health Information Systems (IHiS). Up to $150 million will be invested over five years, by the NRF.

Using AI and Data responsibly

As Singapore develops its digital economy, a trusted ecosystem is key—one where industries can benefit from tech innovations while consumers are assured. It is thus timely to discuss and address ethical issues that may arise from the use of Artificial Intelligence (AI) and Big Data as new business models and innovations emerge from the emergent AI space.

Model AI Governance Framework

Singapore has released its Model AI Governance Framework for public consultation, pilot adoption and feedback. The framework provides detailed and readily implementable guidance to private sector organisations to address key ethical and governance issues when deploying AI solutions.

By explaining how AI systems work, building good data accountability practices, and creating open and transparent communication, the framework aims to promote public understanding and trust in technologies.

Access the framework here (4.43MB).

  • Governance

    Organisational Governance Measures

    • Implementing governance and oversight processes

    • Identifying and mitigating risks

    • Reviewing how and where AI is deployed

    • Practising good data management

    • Ensuring consistent AI performance

    • Understanding algorithmic decision making

    • Training and maintaining AI models
  • CRM

    Consumer Relationship Management

    • Establishing a feedback channel

    • Reviewing AI-led decisions

    • Reviewing human-machine interactions for friendliness

    • Providing an option to opt out
  • Risk Assesment

    Decision Making & Risk Assessment

    • Determining the best approach to decision-making based on three principles

Trusted Data Sharing Framework

The trusted use of data is the foundation of a vibrant Digital Economy, and trusted data flows have the potential to deliver tremendous benefits to both organisations and consumers. For organisations, it facilitates more effective information exchanges, and enabled shared data assets (e.g. between business partners) to support the development of innovative solutions, to customise services and processes for different market segments.  For consumers, willingness to share their data with organisations reflects the amount of confidence they have in an organisation’s ability to use and safeguard data. 

IMDA has released the Trusted Data Sharing Framework to help companies overcome challenges in addressing trust between data providers and develop “trusted data”.  The framework helps companies by establishing a baseline “common data sharing language” and systematic approach to understanding the broad considerations for establishing trusted data sharing partnerships.

Access the framework here (4.42MB)

Guide to Data Valuation for Data Sharing

Guide to Data Valuation for Data Sharing (2.03MB)

Guide to Data Valuation for Data Sharing leaflet (129.62KB)

AI for Everyone

“AIAP mentors are professional and experienced. My knowledge has increased tremendously under their mentorship."

Tan Kaiyu
AIAP Apprentice

AI for You

AI Apprenticeship Programme (AIAP)

Aimed at training fresh graduates with programming experience to becoming AI professionals, AIAP is a full-time, 9-month programme. It blends classroom, online, and hands-on project work, and will be mentored by AI, Big Data and High Performance Computing practitioners.

AI for Everyone (AI4E)

This programme will introduce AI to 10,000 students and working adults and is conducted free of charge by AI SG. Co-supported by IMDA, Microsoft and Intel, its aim is to demonstrate how AI can improve the way one lives, works and plays.

AI for Industry (AI4I)

This programme seeks to enhance 2,000 working professionals’ and students’ competitiveness in a digital economy by equipping them with basic AI and data competency skills.The three month online-offline hybrid curriculum is developed by AI SG and supported by IMDA, Microsoft, Intel and DataCamp, an online learning platform for Data Science and AI.

AI for Business

Digital Services Lab

Comprising an engineering team which includes coders, data scientists and other specialists, the Digital Services Lab will work with government agencies, Institutes of Higher Learning and research institutes to deploy tech capabilities for the industry.

Open Source AI Libraries (2.65MB)

To spur the growth and innovation of AI-related apps in and for the nation, IMDA is setting up free and open-source AI libraries. These libraries will contain collections of Application Programming Interfaces (APIs), source codes, databases and more.

Currently, two libraries that have been created are the National Speech Corpus V1.0 and Intelligent Sensing Toolbox.

Singapore-based AI companies accredited by IMDA

View all companies accredited by IMDA


Mobile advertising made relevant

Affle has developed a consumer intelligence platform that delivers consumer engagements, acquisitions and transactions through insights derived from behaviour, attributes and transactional data.

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Simplifying machine learning models

DataRobot is an enterprise automated machine learning platform that captures the knowledge and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for any organisation’s machine learning initiatives.

Learn more


Helping banks cut costs

A start-up specialising in AI solutions that improve information access and data discovery through natural language processing technology.

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Powering online retail through image recognition

An Artificial Intelligence company that specialises in image search for various retail verticals like fashion, furniture and intellectual property. It is built on 100% deep learning & computer vision.

Learn more

Singapore’s AI Advisory Council

To drive awareness of the benefits and understand the challenges of AI (such as on ethics and legal issues), IMDA is engaging key stakeholders including the government, industry, consumers and academia to collaboratively shape the government’s plans for the AI ecosystem.

Such discourse will inform the government’s plans to support Singapore as a hub for AI development and innovation, and help Singapore effectively respond to global developments.

The council is made up of members from diverse backgrounds, including international leaders in AI, advocates of social and consumer interests, and leader of local companies who are keen to make use of AI.

Learn more

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Last updated on: 06 Dec 2019