生成式人工智能对信息资源管理学科的挑战与启示

Abstract:Therapiddevelopmentof generativeartificialinteligence has triggereddominant,deep,andsubversive impacts on the discipline of information resource management,involving multiple dimensions such as technology application,theoreticalreconstruction,anddisciplineboundaryexpansion.Frommodelsizeimprovement,multimodal generation to personalized content generation and ethicalissues，generative Al has redefined the knowledge production and management paradigm，promoting a comprehensive upgrade of the discipline's core concepts and practicalmethods.Thispaperanalyzes thelatesttrendsof generativeAlanditsimpactonthe disciplineofinformation resource management, explores its subversive impact on traditional theories and methods,and then proposes thoughtson the pathof discipline survivaland development,caling formaintaining core values in technological progressand strengthening interdisciplinary colaboration to provide guidance for the continuous innovation of the discipline in the future.

Keywords: Generative artificial inteligence; Information resource management; Technological impact; Discipline development; Ethical governance; Theoretical reconstruction

近年来，生成式人工智能（GenerativeArtificialIntel1igence，简称生成式AI）技术取得了跨越式发展，从GPT-4等超大规模语言模型的推出到多模态生成能力的普及，生成式AI正逐渐融入各行各业，塑造着知识生产与应用的全新生态。（剩余9574字）