Abstract
This exploratory study investigates the perception of the opportunities and constraints of using generative AI in research literature reviews. A literature review is typically the initial cornerstone of all research as evidence is gathered to contextualize the research and to identify gaps. This time-honoured practice changes dramatically with the introduction of generative AI with both opportunities and constraints at play. This study explores the perception of those opportunities and constraints through interviews with a purposeful sample of university professors. Areas explored include the following: the importance of human supervision; how to avoid irrelevant information in context generation; the importance of capturing ;domain-specific information; potential bias; problems with synthesizing conflicting views in generative AI literature reviews; and how to apply human critical thinking skills to evaluate generative AI literature reviews. The study includes a set of recommendations based on the university professor based participant sample’s findings.
Presenters
Hassan WafaiAssociate Professor, Faculty of Management, Royal Roads University, British Columbia, Canada Mary Bernard
Professor and Program Head of the Doctor of Social Sciences Program, College of Interdisciplinary Studies, Royal Roads University, British Columbia, Canada
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
AI, LIERATURE REVIEW, RESEARCH ETHICS, RESEARCH VALIDITY, DISSERTATION RESEARCH
