The Citation Is Real. Is the Evidence? Verifying AI-Assisted Sources, Claims, and Academic Work

Generative AI has made academic research faster and more accessible, but it has also introduced new challenges in verifying sources, validating claims, and maintaining citation integrity. This webinar presents a practical framework for evaluating AI-assisted academic work and making informed, evidence-based research decisions.

What you will leave with

Participants will gain a practical Five-Point Academic Evidence Verification Framework to assess AI-assisted academic work, strengthen citation integrity, and make informed research decisions through critical evaluation, human judgment, and accountability.

About this session

As generative AI becomes increasingly integrated into academic research and writing, verifying sources and validating claims have become essential skills. This webinar explores practical ways to authenticate references, evaluate evidence, interpret similarity and AI indicators, and promote responsible AI use while maintaining academic integrity.