• Subhash Sonu Mayangade
• Dr. Sanjay Madhukarrao. Salwe

This paper investigates library users’ awareness, usage, and satisfaction with AI-enabled services across 23 Indian Institutes of Technology (IITs). A structured questionnaire was administered to 412 users (students, faculty, and researchers) covering demographics, AI awareness and usage, satisfaction, and perceptions of AI-enabled services. Results show that less than half (46.6%) of users reported being aware that AI is integrated into their library’s services, and 47.8% had personally used AI-powered library tools. Satisfaction with AI services was moderate: most users were neutral (52.9%) or satisfied (30.8%), with only 10.0% very satisfied. The most used AI tools were plagiarism checkers (39.56% of respondents), grammar checkers (30.58%), AI chatbots (e.g. ChatGPT or Gemini, 29.37%) and automated checkout/renewal systems (26.30%), (Table 4). The Respondents reported several benefits of AI (enhanced search accuracy, time savings) but also noted concerns about accuracy and privacy (echoing findings in the literature. These findings are discussed in the context of global and Indian trends in library AI adoption. The study concludes that while Indian academic library users recognize the value of AI in improving efficiency and access, there are opportunities to expand AI services and address usability and ethical issues.

Artificial intelligence, User satisfaction, Academic libraries, AI tools, India, IIT

"USER SATISFACTION WITH AI-ENABLED LIBRARY SERVICES IN INDIAN INSTITUTES OF TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.f86-f96, September-2025, Available :http://www.jetir.org/papers/JETIR2509512.pdf

"USER SATISFACTION WITH AI-ENABLED LIBRARY SERVICES IN INDIAN INSTITUTES OF TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppf86-f96, September-2025, Available at : http://www.jetir.org/papers/JETIR2509512.pdf