Affiliation:
1. Department of Medical Informatics & Clinical Epidemiology, School of Medicine, Oregon Health & Science University , Portland, OR 97239, United States
Abstract
Abstract
Objective
Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative artificial intelligence (AI), based on large language models (LLMs), fit into the IR process?
Process
This perspective explores the use of generative AI in the context of the motivations, considerations, and outcomes of the IR process with a focus on the academic use of such systems.
Conclusions
There are many information needs, from simple to complex, that motivate use of IR. Users of such systems, particularly academics, have concerns for authoritativeness, timeliness, and contextualization of search. While LLMs may provide functionality that aids the IR process, the continued need for search systems, and research into their improvement, remains essential.
Publisher
Oxford University Press (OUP)