Instructor
From Evidence to Integrity
Smarter Research, Better Evidence, Stronger Academic Integrity.
Artificial Intelligence is transforming how researchers search for evidence, review literature, generate ideas, and improve productivity. Effective AI-assisted research requires evidence verification, citation accuracy, plagiarism prevention, and responsible academic practices.
This webinar introduces practical AI Research Tools, demonstrates evidence-based research workflows, and explores best practices for maintaining scientific credibility and academic integrity.
Use AI tools effectively across different research stages.
Verify AI-generated claims and identify reliable evidence.
Check references, citations, and original sources.
Understand differences and critically interpret detection reports.
Maintain responsible academic and publication practices.
Improve productivity without compromising credibility.
| Time (KSA) | Topic | Duration |
|---|---|---|
| 06:00β06:05 PM | Welcome and AI Basics for Researchers | 5 min |
| 06:05β06:15 PM | The AI Research Toolkit | 10 min |
| 06:15β06:25 PM | Live Demo: From Question to Evidence | 10 min |
| 06:25β06:35 PM | Citation Integrity and Verification | 10 min |
| 06:35β06:50 PM | AI Detection vs Plagiarism | 15 min |
| 06:50β07:00 PM | Q&A and Wrap-up | 10 min |
Practical examples, demonstrations, and audience participation.
Five-question pre- and post-webinar polls.
Webinar slides, an AI Research Tools Cheat Sheet, and participant evaluation.

Assistant Lecturer of Medical Education
Medical Education Department
Armed Forces College of Medicine β Egypt
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This course includes 1 modules, 1 lessons, and 2:00 hours of materials.
Smarter Research With AI: From Evidence to Integrity
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