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TOPICS IN MUSIC PRICING: IMPLICATIONS OF AI IN MUSIC COLLECTING.

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Title: TOPICS IN MUSIC PRICING: IMPLICATIONS OF AI IN MUSIC COLLECTING.
Authors: BERNDT, ELIZABETH
Source: Notes. Mar2026, Vol. 82 Issue 3, p342-345. 4p.
Subject Terms: *Artificial intelligence, *Collection development in libraries, Library special collections, Music libraries, Budget
Abstract: The article discusses the implications of generative artificial intelligence (AI) on music collecting and library collections, highlighting how AI tools are integrated into library databases and their impact on research and budgeting. It notes that while AI can enhance search capabilities, it often produces repetitive recommendations and lacks the ability to identify emerging areas of study, which raises concerns about bias and the quality of suggestions. The article emphasizes the need for libraries to critically evaluate AI-generated outputs and engage in feedback processes to ensure these tools meet user needs effectively. Additionally, it addresses the financial implications of adopting AI tools, urging libraries to consider the value and reliability of these enhancements in their collection development strategies. [Extracted from the article]
Copyright of Notes is the property of Music Library Association Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: The article discusses the implications of generative artificial intelligence (AI) on music collecting and library collections, highlighting how AI tools are integrated into library databases and their impact on research and budgeting. It notes that while AI can enhance search capabilities, it often produces repetitive recommendations and lacks the ability to identify emerging areas of study, which raises concerns about bias and the quality of suggestions. The article emphasizes the need for libraries to critically evaluate AI-generated outputs and engage in feedback processes to ensure these tools meet user needs effectively. Additionally, it addresses the financial implications of adopting AI tools, urging libraries to consider the value and reliability of these enhancements in their collection development strategies. [Extracted from the article]
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  Data: <i>Copyright of Notes is the property of Music Library Association Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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