MeitY Plans Global IndiaAI Summit to Drive Ethical and Inclusive AI Expansion

India will also host member countries and experts to further GPAI's dedication to ensuring AI is safe, secure, and trustworthy.
Artificial Intelligence
Artificial Intelligence

On July 3rd and 4th, the Ministry of Electronics and Information Technology is organizing the ‘Global IndiaAI Summit' in New Delhi. The aim of the summit is to highlight India's commitment to the moral and equitable development of AI technology. 

The summit will serve as a venue for top international AI experts from various sectors, including science, industry, civil society, government, international organisations, and academia, to discuss important AI issues and challenges, the Ministry of Electronics and Information Technology said in a statement. 

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India will also host member countries and experts to further GPAI's dedication to ensuring AI is safe, secure, and trustworthy. The summit will revolve around a wide range of issues, including a session about large language models (LLMs) and large multimodal models (LMMs), understanding the usage of AI in healthcare, the country’s commitment to leveraging AI for societal good, current industry demand, challenges, and growth in AI skills, and more. 

Recently, the Economic Times reported that the progress of the Rs 10,372-crore India AI Mission will be developed by the government. As per a PIB statement, "The IndiaAI Mission aims to build a comprehensive ecosystem that fosters AI innovation by democratizing computing access, enhancing data quality, developing indigenous AI capabilities, attracting top AI talent, enabling industry collaboration, providing startup risk capital, ensuring socially impactful AI projects, and promoting ethical AI."

Some of the key pillars of the IndiaAI Mission are: giving deep-tech AI start-ups access to funding; putting responsible AI projects into action; increasing the number of AI courses at various academic levels; and promoting the use of AI in vital industries by responding to issues raised by state departments, central ministries, and other organizations. It also involves developing and deploying large indigenous multimodal models and establishing public-private collaborations to create a scalable AI computing environment with more than 10,000 GPUs. 

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