Generative AI - The End of Systematic Reviews in PhD Projects?
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Association for Computing Machinery (ACM)
Abstract
In this opinion piece, we question the efficacy of students conducting systematic reviews (SRs) at the very start of their PhDs, especially now that we are riding, or drowning in, the Generative AI wave. How would the ubiquitous availability of Generative AI tools shape PhD research and supervision, and how can we capitalize on such disruptions? We report our reflections about early-stage PhD research from 10+ PhD supervisions completed by Sinha, and a recently started PhD project with Zamani as the student. We conducted a systematic literature review following traditional methods for the first four months and then revisited the task using ChatGPT and other related tools. We opine that while SRs still have value for new students, Generative AI must be incorporated, with care, to significantly enhance student learning, reinvest time savings into other, often-ignored skills, and improve the quality (breadth and depth) of SRs.Description
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ACM Inroads, ISSN: 2153-2184 (Print); 2153-2192 (Online), Association for Computing Machinery (ACM), 15(2), 48-50. doi: 10.1145/3657304
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