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AI Research Assistants

Trick or Treat? Emerging AI research tools are disrupting information discovery.

Kwon, D. (2024). AI is complicating plagiarism. How should scientists respond? Nature. https://doi.org/10.1038/d41586-024-02371-z. Search@UW permalink [news feature] 

“An analysis of 100 large academic publishers and 100 highly ranked journals found that by October 2023, 24% of publishers and 87% of journals had guidelines on the use of generative AI4. Almost all of those that provided guidance said that an AI tool could not be included as an author, but policies differed on the types of AI use allowed and the level of disclosure required. Clearer guidelines on AI use in academic writing are urgently needed.”  

Ojala, M. (2024). The Disruptive Technologies of Search. Computers in Libraries, 44(3),  36–40. Search@UW permalink  

“When non-librarians jump into search, assessing results is, at best, an afterthought and, at worst, completely ignored. This is dangerous for all kinds of reasons, from believing detrimental medical advice to creating disastrous public policies. It is up to us to explain the differences among the library’s subscription databases (particularly as they have now begun experimenting with GenAI), web search engines such as Google, AI-driven academic research assistants, and pure play GenAI chatbots. Information literacy is moving toward, perhaps even merging with, AI literacy. We will be in a search earthquake zone for years to come, so brace yourself.” 

Wong, W. K. O. (2024). The sudden disruptive rise of generative artificial intelligence? An evaluation of their impact on higher education and the global workplace. Journal of Open Innovation, 10(2), 100278-. https://doi.org/10.1016/j.joitmc.2024.100278 [open access article] 

“It is evidenced in this paper that the technology has taken nearly eight decades to reach today’s level of technological advancement. Further, it is far from reaching its full potential, as it is still incorporating advances in pattern recognition, planning and problem solving, and quantum computing technologies.” 

Zhou, H., & Bishtawi, H. (2024, September 2024). Hong Zhou, H. B. (2024, September 24). Towards conversational discovery: New discovery applications for scholarly information in the era of Generative Artificial Intelligence. The Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2024/06/04/towards-conversational-discovery-new-discovery-applications-for-scholarly-information-in-the-era-of-generative-artificial-intelligence/  

“Essentially, as GenAI powered discovery becomes more popular and sophisticated, we believe that everyone will have a personal AI assistant. What does this mean for researchers? They’ll be able to discover, memorize, and apply information and knowledge more effectively. They’ll get broader, deeper, faster, and more tailored insights. And it’ll help them better analyze, plan, and execute their work, leading to more efficient – and faster – research outcomes.”