Artificial intelligence chatbots in academic libraries: the rise of ChatGPT

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Abstract

Purpose

The study aims to investigate the potential of artificial intelligence chatbots in academic libraries along with the dangers associated with the technology.

Design/methodology/approach

Literature were sourced from Google scholar and Scopus database-indexed journals to assess the potentials and drawbacks of using ChatGPT (generative pretrained transformer).

Findings

The study found that ChatGPT can aid with technical and reader services such as answering basic reference inquiries, navigating the library website and assisting with research, cataloguing, classification and collection development. However, due to the risk of inaccurate query responses, misuse, limited comprehension, input limitation and technological reliance, it should be a complementary technology rather than a replacement for human librarians.

Originality/value

To the best of the author’ knowledge, this is one of the first articles reviewing the potential of ChatGPT in academic libraries.

Related collections

Most cited references 9

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Is Open Access

Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery

Diane Korngiebel, Sean D. Mooney (2021)

Natural language computer applications are becoming increasingly sophisticated and, with the recent release of Generative Pre-trained Transformer 3, they could be deployed in healthcare-related contexts that have historically comprised human-to-human interaction. However, for GPT-3 and similar applications to be considered for use in health-related contexts, possibilities and pitfalls need thoughtful exploration. In this article, we briefly introduce some opportunities and cautions that would accompany advanced Natural Language Processing applications deployed in eHealth.