Using AI for Plagiarism Prevention and AI-Content Detection in Academic Writing

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Session Agenda

In today’s digital age, where information is readily accessible and content creation is widespread, ensuring the integrity of academic work has become increasingly crucial. Plagiarism, whether intentional or accidental, poses a significant threat to the credibility and authenticity of scholarly research. Given the complexity of academic writing and the rising adoption of AI tools, it’s vital to understand how to effectively utilize these technologies to uphold integrity and ensure originality in scholarly writing.

Key Benefits for Webinar Attendees

Acquire AI-driven plagiarism prevention strategies
Master AI tools to preserve research originality
Gain expert guidance on responsible writing
Grasp ethical implications of AI-generated text
Learn how AI detection can avoid academic misconduct
Boost manuscript acceptance chances

Who should attend this session?

Graduate students
Early-stage researchers
Doctoral & postdoctoral students
Established researchers and academicians
Editors
Peer Reviewers

About the Speaker

Dr. Krishna Kumar Venkitachalam

Innovation Officer at Trinka AI

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 touring workshops in India and internationally along with online workshops in collaboration with universities 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 education, technology, and academic publishing industries. Over the period of 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 turn product manager, he uniquely stands at the intersection of business and technology with experience in both Corporate and start-up word. Piyush is Lead Product Manager at Crimson and heads the product and design teams of Trinka.ai and Enago Read.

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Researchers' Poll

Which among these would you prefer the most for improving research integrity?

Clear and comprehensive ethical guidelines

Data sharing and management platforms

Advanced plagiarism detection software

AI-powered manuscript review tools

Research integrity services

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