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India stands at a pivotal moment to spearhead artificial intelligence (AI) development in Asia, distinct from the paths taken by China and the United States. The country faces challenges, such as the limited availability of training data in Hindi and other regional languages, which hampers the creation of generative AI models. With over 60 languages spoken in India, many native speakers risk being excluded from the AI revolution due to the lack of digital content in their languages.
The potential for India to harness AI is immense, particularly as it seeks to reduce reliance on foreign technology and drive transformative development. Nandan Nilekani emphasizes that the true value of AI lies in its application to improve people's lives. By focusing on local languages and contexts, India can create AI solutions that are not only innovative but also inclusive.
• India's AI development faces challenges due to language data scarcity.
• Local language inclusion is crucial for equitable AI access in India.
The article discusses India's need for generative AI models that can cater to its diverse linguistic landscape.
The lack of sufficient training data in Indian languages is highlighted as a significant barrier to AI development.
The article emphasizes India's opportunity to lead in AI, particularly in applications relevant to its population.
Manish Gupta, who leads DeepMind in India, points out the challenges of language data scarcity for AI development.
As the parent company of DeepMind, Google's involvement in AI research is crucial for India's technological landscape.
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