AI is still far from gaining a definite form. Therefore, the crying need of the hour is to transform our students into innovators and risk-takers. Educators want to instill in students an ingenious mindset that would have them experiment, fail, and try again — prepared to generate new opportunities and accept paradigm shifts rather than simply play the existing default career market.
To keep up with real-world needs, universities have to intensify their collaboration with industry giants, start-ups, NGOs and governments. These partnerships can help students gain experiences of actualness, enhanced perceptibility, live projects and mentorship in emerging work roles. Educators have to lead from the front. Academic leaders at some universities, however, are prioritizing faculty training in AI tools and encouraging cross-disciplinary research combining technology with social and ethical inquiry.
As we see it today, AI is no longer a niche topic limited to computer science. Educators and industry leaders should first equip themselves with workable AI knowledge and then make every student or professional clearly understand AI’s mechanics, applications and ethical concerns. Ethical literacy is key to making sure AI answers are built on human values. Instead of memorization and exam-based assessment, colleges need to be moving to project-based assessment. These emphasize problem-solving, creativity and collaboration — the type of skills required in real-world work environments.
That said, AI could also amplify existing inequalities if training and tooling are available only to a select few. Universities ought to be aggressive about ensuring that AI knowledge is in place for every student to access it, irrespective of their background.
As AI-focused jobs hit the mainstream, to be a misfit in a universe of the advantaged can impede the nation’s AI dreams. Broad policy-level changes echoing the workforce’s evolving demand should emerge. Today’s education models need to move past rote-based systems towards interdisciplinary, flexible education that nurtures both technical and soft skills. We need a national plan to coordinate and incentivize such AI-integrated courses, encourage public-private collaborations and fund faculty reskilling and AI research across disciplines. Policies must also guarantee equal opportunity in AI education and infrastructure in tier-2 and tier-3 cities lest they cause greater digital divides. With a nimble and visionary education policy, India can future-proof its talent pipeline, and help guide the world’s AI infrastructure.
India’s higher education sector is at the crossroads. Universities can’t remain mere credentialing bodies any longer; they have to become machines of creativity and of ethics as well. Their graduates must be more than job-ready. They need to be ready to captain a future of tech rule changes. It is against this backdrop that Indian universities, by adopting a bold and dynamic mindset, can help mould the AI wave, and not get abraded by it.
(The author is Vice-Chancellor, RV University)
