IIT Dharwad Holds Workshop On Research Integrity In The AI Era

Workshop on Research Integrity in the AI Era

The Knowledge Resource Centre at IIT Dharwad held a workshop on research integrity in the age of artificial intelligence on October 15, 2026. The centre organised the in-person session with Elsevier at the institute’s campus in Dharwad.

Dr. Vinita Saroha, Strategic Engagement Manager for South Asia at Elsevier, led the workshop. Mr. Lavanya T., Solutions Consultant (Research Reference) at Elsevier, joined her.

More than 60 faculty members, research scholars, students, and staff took part, according to the IIT Dharwad post on X.

The session covered the changing research integrity landscape with generative AI, responsible use of AI across the research process, risks such as bias and fabricated content, the need for human oversight and disclosure, authorship and citation rules, and issues of plagiarism and data reliability.

Participants discussed practical scenarios during the interactive meeting.

Topics covered at the IIT Dharwad workshop

Generative AI tools can draft text, summarise papers and suggest citations quickly. Researchers still need to verify every claim.

The tools can invent references or present biased information as fact. The workshop stressed that human review is required from the literature search through final submission.

Many journals now ask authors to disclose AI use. Using the tools without saying so can raise questions about originality.

The session also covered proper attribution when AI helps with writing or data analysis. Plagiarism checkers flag AI-generated text, and institutes are adjusting their rules.

Organisers said the aim was to build a culture of responsible AI use in research at the institute.

Responsible AI use and research integrity challenges

Accurate data and proper citation have always been required in academic publishing. AI tools speed up work but can also produce false content that looks convincing. Faculty and students at IIT Dharwad deal with these issues in their regular research.

The workshop showed specific places where problems occur and ways to avoid them. Other Indian institutes have held similar sessions as journals update their policies on AI assistance. Participants received clearer guidance on verification and disclosure.

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