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 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).
Data has the potential to reshape entire industries. However, between different companies, it is often fragmented. In addition, the lack of trusted platforms for the discovery and exchange of data for meaningful innovation raises concerns about breaching data protection regulations.
IMDA promotes the responsible use of data so that innovative technologies and businesses can explore and grow, while building consumer trust.
- Trusted Data Sharing Framework
- Guide to Data Valuation for Data Sharing
Data Collaborative Programme
This programme offers industry operators with regulatory guidance and provisioning for sandboxing, co-funding, and technical support, so they can partake in safe and economically-sustainable data sharing.
This programme also allows IMDA to understand how companies use data, through the different data-sharing models and methods, with the objective of developing a regulatory framework that will allow IMDA/PDPC to oversee and regulate these activities in future.
AI for Everyone
“AIAP mentors are professional and experienced. My knowledge has increased tremendously under their mentorship."
AI for You
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.
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.
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
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.
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
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.
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.
Helping banks cut costs
A start-up specialising in AI solutions that improve information access and data discovery through natural language processing technology.
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.
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.