Key Points
- Human accountability even as agentic AI systems scale across enterprises
- Fragmented data infrastructure is blocking AI adoption, not lack of ambition
- Responsible AI integration to strengthen integrity in Indian classrooms
Technology leaders have called for responsible artificial intelligence adoption with human oversight at the core, marking National Technology Day, emphasising accountability, infrastructure readiness and ethical deployment across enterprises and education.
This come as organisations accelerate AI adoption across sectors, with technology leaders warning that technology autonomy without human judgement risks undermining safety, accuracy and equitable outcomes.
National Technology Day commemorates India’s nuclear tests at Pokhran on 11 May 1998 and has since become an occasion for the technology industry to reflect on innovation priorities and their societal impact.
Wipro CTO Sandhya Arun, said the company’s approach to AI is anchored in three principles: maintaining human judgement over agentic systems, embedding guardrails into platforms by design rather than as an afterthought, and ensuring that architects of technology reflect global diversity.
“We are navigating an era of increased technology autonomy, and we believe that humans should remain accountable for the outcomes,” Arun said. “Technology is a force multiplier and an accelerator to design and develop human-centric solutions.”
She added that while Wipro leverages agentic systems — AI systems capable of autonomous decision-making — for scale, human oversight remains essential to ensure accuracy, consistency, explainability, safety, security and alignment with ethical standards.
AI and data infrastructure
Vasanthi Ramesh, vice president of engineering and site leader, NetApp India, said organisations are failing at AI not because they lack ambition or talent but because their data infrastructure was never built for the demands of modern AI systems.
“Fragmented storage, siloed environments and governance frameworks designed for a pre-AI world are the real blockers, and they are far more common than the industry likes to admit,” Ramesh said.
NetApp has defined AI-ready infrastructure as requiring unified data across every environment, performance that scales without compromise, and governance that earns trust at the enterprise level. Ramesh argued that these are engineering principles the company brings to every deployment rather than aspirations on a roadmap.
“The organisations that will lead the AI decade are not waiting for better models. They are the ones fixing the foundation today,” she said. “The AI era will be won not just by those who write the best models, but by those who build the most dependable ground beneath them.”
Chaitali Moitra, regional director for South Asia, Turnitin, said the most meaningful application of technology in education is one that strengthens the relationship between students and their own thinking.
“As generative AI becomes an increasingly present force in classrooms and institutions across India and the world, the opportunity before us is not to resist this shift, but to shape it responsibly,” Moitra said.
Turnitin provides academic integrity software used by educational institutions to detect plagiarism and, more recently, AI-generated content in student submissions. Moitra said the future of education lies in fostering integrity, critical thinking and human creativity where AI augments curiosity rather than replacing it.
Your Questions, Answered
What is National Technology Day in India?
National Technology Day is observed on 11 May each year to commemorate India's nuclear tests at Pokhran in 1998. It has become an occasion for the technology industry to reflect on innovation priorities and their societal impact.
What is Wipro's approach to AI adoption?
Wipro's AI approach rests on three principles: human judgement must oversee agentic systems, guardrails must be embedded by design, and technology architects must reflect global diversity to ensure equitable solutions.
Why are organisations failing at AI according to NetApp?
NetApp says organisations fail at AI not due to lack of ambition but because their data infrastructure was built for a pre-AI world. Fragmented storage, siloed environments and outdated governance frameworks are the primary blockers.
How does Turnitin view AI in education?
Turnitin believes AI should augment student curiosity rather than replace critical thinking. The company advocates shaping AI responsibly in classrooms to foster integrity and human creativity.
