GAIIN: The Global AI Initiatives Navigator

IPOS' Accelerated Initiative for Artificial Intelligence, AI2 , complements Singapore's shift towards a digital economy and supports innovative enterprises that are looking to bring their AI products faster to the market. It also underscores Singapore's commitment to nurture and protect high-value innovation such as AI technologies. AI2 will be launched on 26 April 2019.

Veritas aims to enable financial institutions to evaluate their AIDA-driven solutions against the principles of fairness, ethics, accountability and transparency (FEAT) that the Monetary Authority of Singapore (MAS) co-created with the financial industry in late 2018 to strengthen internal governance around the application of AI and the management and use of data.

A Digital Economy Agreement (DEA) is a treaty that establishes digital trade rules and digital economy collaborations between two or more economies. Through DEAs with key partners, Singapore hopes to develop international frameworks to foster interoperability of standards and systems and support our businesses, especially SMEs, engaging in digital trade and electronic commerce.

Google for Startups Accelerator: AI First Singapore to nurture and support globally-oriented innovators that use gen AI as the core technology to build their products.

The National AI Programme in Finance aims to build deep AI capabilities within Singapore's financial sector to strengthen customer service, risk management, and business competitiveness.

A Generative AI (Gen AI) innovation sandbox to accelerate development of solutions across Government and Industry.

Chartered AI Engineer (CAIE) is a professional qualification programme to recognize and award credentials to working professionals in AI-related engineering roles of their competencies and work experiences.

AI Grand Challenge looks at important issues and problems faced by Singapore and the world that can be effectively addressed with AI technologies and innovation.

The AIAP is a full time 9-month programme where we train and groom local Singaporean AI talent. This is in line with the nation's focus in deepening national capabilities in AI, not only in terms of technology, but also skillsets and talents. The AIAP is a deep skilling programme and successful applicants to the AIAP are expected to have prior knowledge in AI and Machine Learning. During the duration of the programme the apprentice is paid a stipend of between SGD$3500 - $5500 per month.

AI Research Programme seeds high quality research efforts aimed at developing fundamental AI novel techniques, algorithms and adjacent technologies that will eventually significantly contribute to the other pillars of AI Singapore. The AI Singapore Research Programme will also encourage national research collaborations and nurture local AI talents.

100E is AI Singapore's flagship programme to solve industries' AI problem statements and help them build their own AI team.

The Infocomm Media Development Authority (IMDA) and Google are helping developers and businesses tap into innovations to build a privacy-first digital ecosystem. The IMDA-Google: PET x Privacy Sandbox provides a safe environment and testing ground for pilot projects.

The PET Sandbox provides opportunities for companies to work with trusted PET digital solution providers to develop use cases and pilot PETs, to facilitate experimentation with PETs.

The Sandbox will bring global ecosystem players together through concrete use cases, to enable the evaluation of trusted AI products. The Sandbox will make use of a new Evaluation Catalogue, as a shared resource, that sets out common baseline methods and recommendations for Large Language Models (LLM).

Singapores Road Traffic (Autonomous Motor Vehicles) Rules expanded the definition of "motor vehicle" in the Road Traffic Act to include "autonomous motor vehicle".

Funded by the National Research Foundation, Singapore (NRF), the new S$70 million Initiative will develop Singapore's research and engineering capabilities in multi-modal Large Language Models.

This playbook is designed to help public officers navigate the new ways of interacting with the LLM-powered AI through what we now call prompt engineering.

The FEAT Principles document contains a set of generally accepted Principles for the use of artificial intelligence and data analytics in decision-making in the provision of financial products and services.

This framework expands on the existing Model Governance Framework that covers Traditional AI, last updated in 2020. It covers nine dimensions for generative AI which should be looked at in totality - (a) accountability; (b) data; (c) trusted development and deployment; (d) incident reporting; (e) testing and assurance; (f) security; (g) establishing content provenance; (h) safety and alignment research & development; and (i) AI for Public Good.

The voluntary Model AI Governance Framework was first released in January 2019 and updated in January 2020 as a living document that provides detailed and readily implementable guidance to private sector organisations to address key ethical and governance issues when deploying AI solutions.