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.

翻译：目的：信息检索（IR，也称为搜索）系统在现代社会中无处不在。基于大型语言模型（LLM）的生成式人工智能（AI）的出现，如何融入信息检索流程？过程：本视角探讨了生成式AI在信息检索流程的动机、考量和结果中的应用，重点关注此类系统在学术领域的用途。结论：从简单到复杂，多种信息需求驱动了信息检索的使用。此类系统的用户，尤其是学术界人士，关注搜索的权威性、时效性和情境化。尽管LLM可能提供有助于信息检索流程的功能，但对搜索系统及其改进研究的持续需求仍然至关重要。