This guide is indebted to the work of librarian Aaron Tay, currently the Library Analytics Manager at Singapore Management University. You can access his blog "Musings about Librarianship" here where he frequently posts analysis, reviews, and discussions of a variety of new information tools, especially AI driven ones, both library subscription based, and open access.
Recent research and commentary:
Hicks, M. (2023, August 23). No, ChatGPT can't be your new research assistant: Just look at what happens when you use it to find sources. The Chronicle of Higher Education. https://www.chronicle.com/article/no-chatgpt-cant-be-your-new-research-assistant
Horbach, S. P. J. M., Oude Maatman, F. J. W., Halffman, W., & Hepkema, W. M. (2022). Automated citation recommendation tools encourage questionable citations. Research Evaluation, 31(3), 321–325. https://doi.org/10.1093/reseval/rvac016
Kingsley, D. (2023). Can generative AI facilitate the research process? College & Research Library News, 84(9). https://crln.acrl.org/index.php/crlnews/article/view/26068/33997
Krzton, A. (2023, March 15-18). Welcome to the machine: Ir/responsible use of machine learning in research recommendation tools [presentation]. ACRL 2023 Conference, Pittsburgh, PA.
Nicholson, J. et. al.(2021). scite: A smart citation index that displays the context of citations and classifies their intent using deep learning. Quantitative Science Studies 2(3): 882–898. doi: https://doi.org/10.1162/qss_a_00146
Sanderson, K. (2023). AI science search engines are exploding in number - are they any good? Nature (London), 616(7958), 639–640. https://doi.org/10.1038/d41586-023-01273-w