Artificial Intelligence and Filipino Academic Librarians: Perceptions, Challenges and Opportunities

被引:3
|
作者
de Leon, Lady Catherine R. [1 ,2 ]
Flores, Lejempf V. [1 ]
Alomo, Anna Rita L. [1 ]
机构
[1] Univ Santo Tomas, Manila, Philippines
[2] Univ Santo Tomas, Espana Blvd, Manila 1008, Philippines
来源
JOURNAL OF THE AUSTRALIAN LIBRARY AND INFORMATION ASSOCIATION | 2024年 / 73卷 / 01期
关键词
Filipino librarians; academic librarians; artificial intelligence; AI; virtual assistants; technology; RESISTANCE;
D O I
10.1080/24750158.2024.2305993
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This study explores the perspectives, challenges, and opportunities faced by Filipino academic librarians in integrating Artificial Intelligence (AI) into their profession. In response to the transformative impact of AI on various sectors, including libraries, understanding how librarians navigate this technological shift is imperative. Using a quantitative approach, an online questionnaire was distributed to 178 academic librarians across diverse universities in the National Capital Region, Philippines. The survey investigates librarians' perceptions of AI, covering their comprehension, expectations, and concerns. It also explores challenges in AI adoption and identifies opportunities for improving library services. Results reveal that Filipino librarians generally view AI as an opportunity rather than a threat, expressing readiness for training to incorporate AI into their workflows. This study provides valuable insights into the preparedness and willingness of Filipino academic librarians to embrace AI, contributing to the literature on AI in libraries within the Filipino context. The findings serve as a guide for future developments, aiding librarians in identifying training needs, addressing knowledge gaps, and preparing for the evolving landscape of library services through AI integration in the academic library domain in the Philippines.
引用
收藏
页码:66 / 83
页数:18
相关论文
共 50 条
  • [31] On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
    Reyes, Mauricio
    Meier, Raphael
    Pereira, Sergio
    Silva, Carlos A.
    Dahlweid, Fried-Michael
    Von Tengg-Kobligk, Hendrik
    Summers, Ronald M.
    Wiest, Roland
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2020, 2 (03)
  • [32] Challenges and opportunities for artificial intelligence in oncological imaging
    Cheung, H. M. C.
    Rubin, D.
    CLINICAL RADIOLOGY, 2021, 76 (10) : 728 - 736
  • [33] Artificial Intelligence: Opportunities and Challenges for the Public Sector
    Susar, Deniz
    Aquaro, Vincenzo
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2019), 2019, : 418 - 426
  • [34] Artificial Intelligence: Opportunities and Challenges for Public Administration
    David, Genevieve
    CANADIAN PUBLIC ADMINISTRATION-ADMINISTRATION PUBLIQUE DU CANADA, 2024, 67 (03): : 388 - 406
  • [35] Opportunities and challenges in application of artificial intelligence in pharmacology
    Kumar, Mandeep
    Nguyen, T. P. Nhung
    Kaur, Jasleen
    Singh, Thakur Gurjeet
    Soni, Divya
    Singh, Randhir
    Kumar, Puneet
    PHARMACOLOGICAL REPORTS, 2023, 75 (01) : 3 - 18
  • [36] Artificial intelligence in cancer diagnosis: Opportunities and challenges
    Alshuhri, Mohammed S.
    Al-Musawi, Sada Ghalib
    Al-Alwany, Ameen Abdulhasan
    Uinarni, Herlina
    Rasulova, Irodakhon
    Rodrigues, Paul
    Alkhafaji, Adnan Taan
    Alshanberi, Asim Muhammed
    Alawadi, Ahmed Hussien
    Abbas, Ali Hashim
    PATHOLOGY RESEARCH AND PRACTICE, 2024, 253
  • [37] Growing an Artificial Intelligence Capability: Challenges and Opportunities
    Alt, Jonathan K.
    Klingensmith, Kurt
    Faber, Isaac
    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS II, 2020, 11413
  • [38] Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering
    Yaman, Fusun
    Adler, Aaron
    Beal, Jacob
    AUTOMATED REASONING FOR SYSTEMS BIOLOGY AND MEDICINE, 2019, 30 : 425 - 452
  • [39] Artificial Intelligence in Perioperative Care: Opportunities and Challenges
    Han, Lichy
    Char, Danton S.
    Aghaeepour, Nima
    ANESTHESIOLOGY, 2024, 141 (02) : 379 - 387
  • [40] Artificial intelligence for literature reviews: opportunities and challenges
    Bolanos, Francisco
    Salatino, Angelo
    Osborne, Francesco
    Motta, Enrico
    ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (09)