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Opinion | The Holy Grail Of AI Is Trust And India Has The Edge

23 0
14.10.2026

Opinion | The Holy Grail Of AI Is Trust And India Has The Edge

The next breakthrough in AI will come not from the biggest model but from the system doctors can trust with a patient’s life. India has talent and the legitimacy to get there first

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For several years, Indians have been told a humbling story about artificial intelligence. California designs the chips, Taiwan makes them, and frontier models emerge from San Francisco and Beijing. In this telling, India is the back office of the AI age: it labels data and writes code, but owns neither the machines nor the profits.

That story misses the prize. The decisive race in AI will not be for the biggest chip or model. It will be for trust, and nowhere does trust matter more than in medicine. At the Global Health Congress in New York last weekend, I watched Indian-origin doctors, entrepreneurs and technologists line up for that race. I was there for my own work on semantic AI, which seeks to reduce AI errors, particularly those with serious consequences.

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The setting held a historical irony. In 1718, Elihu Yale, a former East India Company governor of Madras whom the Company had removed for enriching himself, sent a gift that included Indian textiles to a struggling college in Connecticut. The proceeds helped pay for its first building, and the college took his name. From October 9-11, at the Yale Club in Manhattan, three leaders of Indian origin convened the world’s medicine, technology and capital: Dr Achintya Moulick, a cardiothoracic surgeon and health-system executive; Dr Samin Sharma, Director of Interventional Cardiology at Mount Sinai; and Sanat Chattopadhyay, formerly an executive vice-president of Merck. Then, India had no say in what was built with its wealth. Now, Indians are helping set the standards of a new era of health care.

Today’s AI can pass medical examinations, but a convincing answer is not necessarily a correct one. Doctors need to know when a system is reliable and when it is uncertain. Hospitals need proof that it works across........

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