New Delhi, February 20 The government is considering creating a "comprehensive AI stack" based on anonymized datasets that researchers and startups can access to drive the next wave of innovation, Union Minister Jayant Chaudhary said on Friday.
The minister also proposed the creation of an audit mechanism for AI systems and suggested that, in the future, institutions such as the Comptroller and Auditor General of India (CAG) could issue audit reports on AI models to enhance accountability.
A complete or full AI stack refers to a comprehensive collection of hardware, software, data, and services required to design, train, deploy, and manage artificial intelligence (AI) applications.
Speaking at the AI Impact Summit in the national capital, Chaudhary, Minister for Skill Development and Entrepreneurship and the minister of state for education, emphasized the need for datasets to be segmented.
"There are protocols within the Indian government. In education, we are considering creating a complete AI stack, which means that anonymized datasets will be made available for researchers to create value through layers of innovation, and to enable startups to engage with that data that the government and citizens have shared," he said.
The minister said that there needs to be an audit mechanism for new AI models. "Perhaps in the future, the CAG could issue an audit report on all AI models. So, it's a brave new future, but it's a balance for partnership at scale," he suggested.
Highlighting the public-private partnership (PPP) model underpinning India's AI push, Chaudhary said that the most critical "P" in PPP is "People," reflecting a human and citizen-centric approach.
He recalled that during early policy debates around AI, including concerns over privacy, trust, data sovereignty, and job disruption, India chose to prioritize openness and innovation.
"It is essential to have safeguards, but we do not want to compromise the possibility of innovation," he said.
Under the IndiaAI Mission, the country initially set a target of 18,000 GPUs but has already surpassed 38,000. By the end of the year, the compute capacity is projected to exceed one lakh GPUs (Graphics Processing Units).
"All of this computing infrastructure is a model of PPP. It has to be housed in educational institutions so that real research can happen in our premier institutions," Chaudhary said, describing this as a transformative moment for academia-industry collaboration in India.