Some governments are investing in the development of AI models in local languages to support inclusive AI development. India’s Bhashini mission under the Ministry of Electronics & IT (MEITy) funds natural language translation tools across local languages, while the AI4Bharat initiative has received government funding to develop datasets to train and build AI systems in local languages. In Africa, governments partner with NGOs to fund speech-data collection and transcription services in local languages, while some Latin American countries are collaborating to launch Latam-GPT in September, the first large-scale AI language model designed to capture the region’s cultural diversity and linguistic nuances. Meanwhile, South Korea’s government-run AI Hub provides resources to spur private sector development of Korean language AI models.
Beyond investments in local language AI datasets and tools, governments are also investing in or planning to invest in domestic foundation AI models, for example, in France (Mistral), Germany (OpenGPT-X), Switzerland (unnamed), India (planned), and China (WuDao).
Government Interventions in AI
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