Singapore is in discussions with technology companies about introducing so-called "nutrition labels" for artificial intelligence products intended for consumers, Digital Development and Information Minister Josephine Teo said. The labels would identify appropriate uses and limitations of AI-powered consumer applications, she added, likening them to the way food and medicine labels communicate correct and incorrect usage.
Teo said the labels are planned for consumer-facing applications that include AI features and would aim to help users distinguish the "right ways" of deploying those tools from "not-so-correct ways." The minister indicated Singapore might begin with a voluntary framework for these labels and then assess their effectiveness before deciding on further steps, noting this could be an initial phase in a larger regulatory or guidance program.
Describing the proposal as a potential global first for AI product labeling, Teo said Singapore is concurrently developing testing frameworks and accrediting organizations to evaluate AI products. Those efforts are intended to provide independent assessment capabilities as the labeling concept is refined and potentially implemented.
At the Asia Tech x Singapore Summit, Teo also announced that Singapore would host OpenAI’s first Applied AI Lab outside the United States, citing an investment of more than $234 million. She said Google DeepMind has also established ties with Singapore, announcing a partnership spanning education, healthcare and scientific research after opening an AI laboratory in the country in November.
Teo outlined broader adoption targets as part of the country’s AI strategy, saying Singapore aims to help 10,000 firms adopt AI and to expand use across manufacturing, healthcare and financial services. She highlighted the city-state’s semiconductor equipment manufacturing base - which she said accounts for roughly 20% of global supply - as a key asset in building an AI hub.
In addition, Singapore is investing in research to make AI more energy-efficient at both the chip and algorithm levels, Teo said, framing that work as a response to power constraints associated with increased AI compute demand.
Note: The minister discussed these initiatives publicly at the Asia Tech x Singapore Summit.