IIT Madras professor says GATE can be India's "entry card" to the AI revolution

IIT Madras professor Balaraman Ravindran urged students to treat GATE as a gateway to AI. He said India needs home-grown research and talent to build systems suited to its own diversity.

In Short

• The DA paper now anchors eligibility for IIT Madras’s MTech in AI
• Ravindran said admission is only one part of a wider mission
• Foreign datasets may miss India’s linguistic, cultural and social complexity

IIT Madras Professor Balaraman Ravindran has placed before India’s students a curious proposition for an age of machines: the road to the country’s artificial-intelligence future may begin with an examination paper.

At a time when the world’s great laboratories are engaged in a remarkable contest to teach machines to reason, speak and create, Ravindran has urged young Indians not to remain mere spectators - or consumers - of the coming technological age.

For those wishing to enter the field, he describes GATE as an “entry card” to participate in the AI revolution, particularly the relatively new GATE Data Science and Artificial Intelligence (DA) paper.

GATE AS THE ENTRY CARD

Ravindran, who heads the Wadhwani School of Data Science and Artificial Intelligence at IIT Madras, has argued that students aspiring to work in AI, whether in research or at the master’s level, should look closely at GATE DA.

“India should not only be consumers of AI, but also producers of AI and have significant control over the direction in which AI is evolving,” he said.

The DA paper, introduced in recent years amid the rapid expansion of AI education, offers a route towards postgraduate study and research in the discipline. At IIT Madras, GATE DA qualification is among the requirements for admission to its M.Tech programme in Data Science and AI.

Yet, in Ravindran’s telling, the examination is scarcely the destination. It is the gate itself.

THE QUESTION OF AN AI MADE FOR INDIA

Behind his counsel lies a larger technological question. AI systems fashioned upon datasets and experiences from other parts of the world may not always understand the peculiar linguistic, cultural and social circumstances of India.

At IIT Madras, researchers have been examining how frontier AI models perform upon Indian data and applications. Ravindran points to a difficulty that is at once scientific and national: solutions developed elsewhere may not necessarily scale, either technically or economically, to a country of India’s vast population and extraordinary diversity.

“You need a lot of fundamental research to support the development of such solutions,” he has said.

The work, therefore, extends beyond commercial AI. It reaches into education, healthcare, agriculture and other fields where India requires solutions capable of serving populations on an uncommon scale.

BEYOND THE EXAMINATION HALL

India’s AI ambitions have consequently assumed a significance far greater than the fortunes of any single examination. The country is building computing capacity, datasets, research programmes and indigenous AI capabilities as it seeks a more substantial place in the global AI order.

For the student preparing for GATE, Ravindran’s message is thus of a different character.

“Don't think of it as an exercise that you need to go through when you graduate,” he said. “Think of it as your key to participating in the AI revolution and helping shape not just the future of AI, but also the future of Indian society.”

And so the old examination acquires a new meaning. The gate may be GATE; beyond it lies the larger question of who shall build the machines upon which tomorrow’s India depends.

- Ends