
The goal is to improve the business efficiency of civil servants and is expected to be officially launched in 2027.
AI-generated summary
The Japan Digital Agency began piloting the self-developed AI system "Gennai" in May last year. The system is designed to handle confidential government information and improve administrative efficiency.
(Central News Agency, Tokyo, 20th, comprehensive foreign news reports) In order to support the work of national civil servants, the Japanese government has launched a large-scale demonstration project of the self-developed generative AI basic system "Gennai". In addition to supporting article writing and translation, "Yuannei" will also provide the function of drafting congressional defense drafts in the future.
Japan's Kyodo News reported that this demonstration project targets about 180,000 employees, including government branches across the country. The purpose is to verify the effectiveness of improving business efficiency and identify relevant issues, with the hope of promoting "Gennai" to be officially launched in 2027.
The artificial intelligence (AI) system "Gennai" was developed by the Japan Digital Agency and was introduced to the agency on a trial basis in May last year. Its characteristic is that it is not outsourced but developed internally by the government, so it can handle information with a certain degree of confidentiality. Since May this year, "Yuannei" has been extended to other ministries and departments to conduct large-scale demonstrations.
"Yuannei" also has the function of automatically classifying government "public opinion collection". Since some cases receive thousands to tens of thousands of opinions, the operation of sorting out opinions was extremely time-consuming in the past. The introduction of "Yuannei" is expected to greatly improve the efficiency of opinion integration. In addition, the system also supports conference voice-to-text and translation functions.
AI outlook — possibilities, not facts
The "Yuannei" system will be officially launched in 2027
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