Can Indian universities close the AI ethics gap?

AI education needs to factor in ethical code of conduct for proper implementation and use at an early stage. | Photo Credit: Getty Images/iStockphoto Given the pace at which Artificial Intelligence (AI) is reshaping industry, education, and public life, universities in India are racing to prepare students for an AI-driven economy. Yet, technical training alone will not suffice. AI education also needs to factor in an ethical code of conduct for its proper implementation and use. India’s universities have built genuine technical capacity. The IITs and IIMs command global respect and the National Education Policy’s (NEP 2020) push for interdisciplinary learning is a meaningful signal. AI centres are opening, partnerships multiplying, and enrolment rising. But the curriculum tells a different story. Ethics, when it appears at all, tends to be a single elective in later years of graduation. It is treated as a compliance checkbox rather than a lens for decision-making.This matters because the problems AI creates are not primarily technical. A language model trained on urban data performs poorly in regional dialects. A credit-scoring algorithm would deny loans to farmers because their transaction patterns look anomalous to a system designed around salaried employment. These are engineering failures with social roots and fixing them requires people who understand both. An engineer who understands technology without understanding society is only partially educated. In high-stakes decisions, that gap becomes dangerous.What can be doneThree changes would shift this. First, ethics must be embedded in technical courses, not appended to them. When a student designs a recommendation algorithm, they should simultaneously analyse its incentive structures and potential for manipulation, not in a separate classroom, but in the same project brief.Second, judgment is built through experience, not instruction. Case studies, public-interest internships, and capstone projects tied to real problems — such as healthcare access in tier-3 cities or vernacular tools for government services — teach students to navigate competing values in ways that a memorised code of ethics simply cannot.Third, India has a specific opportunity that its universities have not fully seized. The country’s scale, diversity, and resource constraints make it a natural testing ground for inclusive AI. A university training students to build affordable diagnostic tools for primary health centres or crop-advisory systems in a dozen languages is not simply preparing graduates for employment. It is building a different kind of global standing; one grounded in solving problems that wealthier markets have no financial reason to address.The harder question is whether institutions have the incentive to act. Rankings reward research output and placement rates. Ethics modules improve neither. For universities to change course, employer expectations and government accreditation standards need to move together.India has a young population and a growing AI sector. Whether that combination produces genuine leaders or highly skilled operators depends on decisions being made right now: inside syllabus committees, research labs, and boardrooms. Those decisions are not predetermined; they remain available. The writer is Vice Chancellor, Rishihood University. Published - September 19, 2026 03:00 pm IST