So far, every month about 30,000 students are using this solution. This solution is designed to help Taiwan achieve its goal of being bilingual in Chinese and English by 2030. “We want to help our students quickly improve their English skills to compete with other countries. other,” said Howard Hao-Jan Chen, professor of English at National Taiwan Normal University.
Early concerns about AI in education revolved around the fear that students would cheat or miss important steps in the learning process. However, Microsoft’s Bartley Johns cites the successful incorporation of computers into math instruction as evidence that the learning and assessment approach is adaptive. “There are a lot of positive opportunities here and I have not spoken to anyone in the education industry in Asia who thinks general AI will not be used in universities and schools in the long term,” he said. .
What’s next for next-generation AI?
These are the early days of general AI development. New regulations were born across Asia. However, great power comes with community obligations. It is important for the public sector to develop and deploy generalist AI responsibly, in a way that protects data privacy and security and promotes citizen trust.
The first question for governments is to what extent existing laws and regulations apply. The importance of AI working within legal protection was mentioned by Japan’s ruling Liberal Democratic Party in a Recent AI National Strategy White Paperwhile the New Zealand Privacy Commissioner’s Officer recently published Helpful guide on how to comply with privacy laws when using general AI. New issues could include requiring the public sector to provide basic transparency about the AI models it relies on. Partnering with trusted cloud service providers allows governments to leverage existing privacy and security architectures instead of starting from scratch.
Inclusion is the second most important challenge for a technology billed as benefiting everyone in the world—a technology that invites natural conversational interaction when a government service center is near. possibly hundreds of miles away. This starts with the expansion of mobile broadband connectivity, an area where governments in Asia have made progress but where large urban-rural disparities remain. The use of personal devices also needs to be democratized and expanded.
However, Microsoft’s Bartley Johns is optimistic about the transformative potential of general AI as it gets delivered to millions, and eventually billions of people. “There’s a real front-end opportunity here, and that’s what we’re hearing from governments across Asia,” he said. “The underlying technology is here today.”
This content is produced by Microsoft. It was not written by the editorial staff of the MIT Technology Review.
