Exploring the Application of Artificial Intelligence and Machine Learning in GLAM Collections

被引：0
|
作者：
Kim, Jeonghyun [1 ]
Chen, Haihua [1 ]
Yang, Le [2 ]
Simic, Julia [2 ]
机构：
[1] University of North Texas, United States
[2] University of Oregon, United States
来源：
Proceedings of the Association for Information Science and Technology | 2024年 / 61卷 / 01期
关键词：
Adversarial machine learning;
D O I：
10.1002/pra2.1101
中图分类号：
学科分类号：
摘要：
In recent years, considerable work has been done on the application of artificial intelligence (AI) and machine learning (ML) in the realm of cultural heritage. The purpose of this panel is to address the following questions: What is the current understanding and implementation status of AI/ML in GLAM collections? What are the associated concerns and challenges in real cases? What does this entail in applying AI/ML in the field of computational archives? To address these questions, the panelists will present: 1) use cases of AI/ML technologies applied within GLAM collections, 2) findings from a systematic review of literature on AI/ML in GLAM collections, and 3) insights from semi-structured interviews with archival practitioners on their perspectives on AI/ML. Following the panelists' presentations, an interactive discussion session will be conducted to delve deeper into the topics discussed. 87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada.
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页码：782 / 785
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