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1、 Generative Artificial Intelligence and Web-Scale Discovery A report from the NISO Open Discovery Initiative Standing Committee Authors:Ken Varnum(University of Michigan),Rachel Kessler(Clarivate),Judy Zhu(IEEE),Teresa Hazen(University of Arizona),Bobbi Patham(SpringerNature),and Jay Holloway(OCLC)A

2、ugust 2025 i Executive Summary The NISO Open Discovery Initiative(ODI)Standing Committee most recently updated its Recommended Practice,“Promoting Transparency in Discovery,”in 2020,several years before large-scale Generative Artificial Intelligence(AI)tools emerged into the publics view in late 202

3、3.Much as web-scale discovery changed the library discovery environment around 2010,Generative AI has the potential to be similarly revolutionary,affecting the way library users do their research and content providers share their full-text and indexing.To better understand the specific areas of inte

4、rest and concern among participants in the discovery ecosystem,ODI conducted a survey of our constituents from September to October 2024,following several months of planning.The findings from that survey are included in this report,along with specific areas of work that ODI will be taking on in the

5、months to come.ODI seeks to enhance mechanisms for transparency in the use of Generative AI among content providers(publishers and traditional abstracting and indexing services),discovery providers(companies that collect and index content from multiple content providers),and libraries(who license bo

6、th the discovery service and content being indexed).Key findings of our survey include:Library and Content Provider respondents shared common hopes about Generative AI in discovery.Their mutual top three choices were:Improved visibility of content;More accurate content recommendations;and Saving sta