This workshop is designed for research scholars and faculty researchers who want to use AI responsibly without weakening research quality.
Session focus
The session can cover literature review workflows, synthesis matrices, academic writing support, verification, citation discipline, research ethics, publication planning, and quality-control routines.
Ideal audience
This session can be adapted for faculty members, research scholars, academic leaders, business schools, universities, conference audiences, and institutional teams depending on the event objective.
Expected outcomes
Participants should leave with clearer AI vocabulary, practical examples, responsible-use principles, and a structured view of how to apply the ideas in teaching, research, assessment, or institutional work.
Customization
The session can be delivered as a keynote, invited lecture, FDP, workshop, panel input, or institutional planning discussion. Examples, depth, and activities can be adjusted for beginner, intermediate, or leadership audiences.