AI Content Detectors Aren’t Enough: Promoting Student Ownership and Reducing Faculty Stress

Session Agenda

While AI has unlocked new levels of speed and convenience in writing, it has also presented a pressing dilemma for institutions: How can AI be embraced for productivity without compromising originality or breaching academic integrity?  While AI content detectors are widely used, they often fall short—producing inaccurate results and creating an atmosphere of distrust. This calls the need to go beyond detection and step up to transparent documentation of how AI is used in the writing process.

Watch this webinar, where we presented a forward-looking approach to faculty, instructors, librarians, and administrators of universities for documenting AI use in academic research writing, moving beyond basic AI detection. The webinar demonstrated how our latest tool, DocuMark, relieves faculty of the stress of identifying AI-generated content, guides students to use AI responsibly and take ownership of their writing, and supports librarians and administrators in crafting institutional AI policies and upholding academic integrity.

Who should attend this session?

  • Department heads and faculty members
  • Academic librarians
  • Academic supervisors and mentors
  • Ethics and integrity officers
  • University administrators and support staff
  • About the Speaker

    Dr. Krishna Kumar Venkitachalam

    Innovation Officer at Trinka AI

    Dr. Krishna Kumar Venkitachalam (Dr. KK) is an orthopedic surgeon by qualification with 15+ years of experience in academic publishing under various roles, including manuscript editing, manuscript writing, editor training, author education, language technology solutions, and innovation. As an editor/writer, he has helped hundreds of authors/researchers publish their research in leading journals worldwide. Being passionate about science communication and teaching, he has conducted several interactive training programs and author workshops. These included workshops across India and internationally along with online workshops in collaboration with universities and publishers. With his background in academia, experience in science communication experience, and affinity towards technological solutions, he plays a role as a consultant in the integration of new technologies to publishing platforms and for designing customized publication solutions for institutions and publishers.

    Piyush Agarwal

    Lead Product Manager at Trinka AI Piyush has 12 years of experience in designing and building cutting-edge digital products in the education, technology, and academic publishing industries. Over the last decade, as a product manager, he has worked with large corporates, SMEs, start-ups, and start-up accelerator, adding immense value to their businesses. As a developer turned product manager, he uniquely stands at the intersection of business and technology with experience in both the Corporate and start-up world. Piyush is Lead Product Manager at Crimson and heads the product and design teams of Trinka.ai and Enago Read. Piyush is focused on leveraging the power of AI to solve the researchers’ problems and build a resilient tech ecosystem for the entire academic publishing industry.

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