AI in Indian research: High aspirations, growing responsibilities

India stands at a defining moment in its research journey. Across laboratories, universities, and innovation ecosystems, artificial intelligence is reshaping how knowledge is discovered, communicated, and applied. From accelerating literature discovery to streamlining manuscript workflows and enabling cross-disciplinary collaboration, AI is unlocking possibilities that were difficult to imagine a decade ago.

The Optimism Gap: What distinguishes Indian researchers is their remarkable confidence in this transformation. According to the Elsevier Researcher of the Future study, 75% of Indian researchers believe AI will play a significant role in generating new knowledge—well above the global average of 61%. This is not mere enthusiasm; it signals that India's academic community is ready to embrace AI as a driver of research excellence rather than just a convenience tool. 

Yet this optimism coexists with a striking gap. Only 31–39% of Indian researchers currently expect safeguards such as transparency of AI outputs, secure data handling, independent validation, or clear accountability frameworks—figures well below global benchmarks. This does not reflect a lack of integrity; it reflects the stage of institutional evolution many Indian universities are navigating. Many are still building foundational digital infrastructure, while others are experimenting with AI tools before formal governance models have fully matured.

Building National Capacity- The Indian government has responded with substantial policy commitments. The India AI Mission, approved with an outlay of over ₹10,371 crore, has established a shared compute facility with over 45,000 GPUs to strengthen AI research and development. Under this mission, initiatives such as BharatGen—India's indigenous multilingual, multimodal large language model supporting 22 Indian languages—have been launched. Additionally, the Research, Development and Innovation (RDI) Scheme, launched in November 2025 with a total outlay of ₹1 lakh crore over six years, aims to incentivize private sector investment in R&D across strategic and sunrise sectors, including AI and deep technologies. The Department of Science & Technology is implementing the National Mission on Interdisciplinary Cyber-Physical Systems, establishing 25 Technology Innovation Hubs in areas such as AI, robotics, and cybersecurity. India's research output reflects this momentum. According to the Stanford AI Index 2026, India produced 7.6% of all AI publications in computer science in 2024, ranking third globally behind China and Europe as a whole—ahead of the United States. India also leads the world in relative AI skill penetration on LinkedIn, with Indian members listing AI skills at three times the global average.

The Accountability Imperative- Despite these achievements, significant challenges remain. India's share of global AI patents is minuscule at just 0.4%, representing just over 500 patents until 2024. While the portfolio shows roughly 80% overlap with the US and China—indicating innovation in similar domains—the translation of research into patentable intellectual property remains weak. LinkedIn commentary from the AI community has noted that while India ranks among the top countries in AI adoption and houses 16% of the world's AI talent, it struggles with insufficient funding, lack of corporate-academic partnerships, and bureaucratic hurdles. Research quality is another concern. India ranked only 15th in citation impact despite ranking 4th in the number of AI research papers published, suggesting a need to improve global influence of its AI research.

Responsible AI Governance- The India AI Governance Guidelines, released in November 2025, address these concerns through seven guiding surreys: Trust is the Foundation, People First, Innovation over Restraint, Fairness and Equity, Accountability, Understandable by Design, and Safety, Resilience and Sustainability. The framework recommends establishing new institutions including the AI Governance Group, the Technology & Policy Expert Committee, and the AI Safety Institute. This governance philosophy prioritizes innovation over restraint, positioning AI as a catalyst for inclusive growth and the vision of Visit Bharat 2047. The framework recognizes that effective governance includes not just regulation but also building capacity, infrastructure development, and institution building.

The Path Forwar- Three priorities deserve immediate attention. First, India needs national guidelines for AI use in research that provide clarity on disclosure of AI-generated content, acceptable use cases, data protection, and researcher accountability. Second, universities must establish AI ethics and governance committees—not as bureaucratic layers, but as enabling mechanisms that can support faculty and guide students. Third, investment in capacity building is essential: researchers, faculty members, librarians, administrators, and reviewers all need structured training to understand both the opportunities and limitations of AI tools. Concerns about AI's potential misuse are widespread; 94% of Indian researchers have expressed concern over AI's potential to spread misinformation or reinforce biases. Building a culture of responsible AI usage—one that prioritizes transparency, fairness, and accountability—will be crucial in overcoming these hurdles. Indian researchers have already shown they are ready for AI. Now, institutions and policy frameworks must rise to meet that same ambition. True leadership in research will not come from adopting the latest technology alone. It will come from building systems where innovation is matched by transparency, where speed is balanced by rigor, and where technological progress strengthens public trust in science.