India to host Global India AI Summit 2024 in New Delhi on July 3-4

India is organising the ‘Global IndiaAI Summit 2024’ on July 3-4 in New Delhi under the aegis of the Ministry of Electronics and Information Technology.

According to the press release from the Ministry of Electronics and IT, the summit aims to promote collaboration among international AI experts and facilitate knowledge exchange, thereby reinforcing India’s commitment towards ethical and inclusive AI development.

The Global IndiaAI Summit 2024 will serve as an important platform for stakeholders from diverse sectors including science, industry, civil society, governments, international organisations, and academia.

These experts will gather to discuss key AI issues, share insights, and address challenges facing the AI ​​ecosystem.

By hosting this summit, India is reaffirming its role as an active player in the global AI community, focused on advancing technologies that are safe, secure, and beneficial to society.

As the lead chair of the Global Partnership on Artificial Intelligence (GPAI), India is set to host member countries and experts to advance GPAI’s commitment to trustworthy AI practices.

The summit aims to showcase India’s potential to be a leader in the AI ​​sector and highlight the country’s goal of making the benefits of AI accessible to all, thereby contributing to the socio-economic development of the country.

The overarching theme of the summit is the IndiaAI Mission, an initiative designed to create a comprehensive ecosystem that fosters AI innovation across the country.

The mission focuses on democratising access to computing resources, enhancing data quality, developing indigenous AI capabilities, attracting top AI talent, fostering industry collaboration, providing risk capital to startups, ensuring societal impact of AI projects, and promoting ethical AI practices, the press release said.

The India AI Mission is based on seven key pillars, each targeting a critical aspect of AI development and deployment.

The first pillar, IndiaAI Compute Capability, aims to establish a scalable AI computing ecosystem with over 10,000 GPUs through public-private partnerships.

This will include the creation of an AI marketplace that will offer AI as a service and pre-trained models, and provide the necessary resources for AI innovators and researchers.

The second pillar, the IndiaAI Innovation Centre, focuses on developing and implementing large multimodal models (LMMs) and domain-specific infrastructural models tailored to the specific needs of India’s diverse industries and sectors.

The third pillar, the IndiaAI Dataset Platform, seeks to streamline access to high-quality non-personal datasets through a unified platform.

This initiative will support Indian startups and researchers by providing seamless data access, which will aid in the development of robust AI models.

The fourth pillar, IndiaAI Application Development Initiative, aims to promote AI applications in critical sectors by addressing problem statements of various government bodies and institutions, with a focus on building impactful AI solutions for large-scale socio-economic transformation, the press release said.

The fifth pillar, IndiaAI FutureSkills, is dedicated to reducing barriers to AI education by increasing the availability of AI courses across various academic levels and setting up data and AI labs in tier 2 and tier 3 cities.

This effort is critical to building a steady pipeline of skilled AI professionals to ensure that talent development keeps pace with technological advancements.

The sixth pillar, IndiaAI Startup Financing, supports deep-tech AI startups by providing streamlined access to funding and risk capital, nurturing a vibrant ecosystem of AI startups that drive technological advancement and economic growth.

The seventh pillar, Safe and Trustworthy AI, emphasizes responsible AI development through the implementation of projects focused on ethical AI practices. This includes developing indigenous tools and frameworks and establishing guidelines for transparency and trustworthiness of AI technologies.