Responsible AI for Academic Research

Abstract

This seminar explores responsible AI as a practical research skill for scholars who use AI in their research practices, including searching, summarizing, coding, analyzing, writing, reviewing, translation, and research administration. It provides an evidence-informed framework for preserving validity, accountability, ownership, privacy, and trust across academic research workflows.