ROLE OF ARTIFICIAL INTELLINGENCE

Author:

Dixit Chitransh,Lata Dixit Kanchan,Kumar Dixit Chandra,Kumar Pandey Praveen,Chauhan Deepali,Ali Siddiqui Shavej

Abstract

Artificial intelligence (AI) in libraries refers to the growing trend of programming computers to perform tasks that traditionally role on human intelligence. The ultimate goal is to develop computer systems or machines that can think and act like humans, potentially revolutionizing the field of librarianship. Including expert systems to provide reference services, robots that perform tasks such as reading and shelving, and virtual reality for experiential rich learning. Although some fear that the integration of AI will create a divide between librarians and users, it is more likely that it will enhance their capabilities rather than replace their roles. This will lead to better service delivery, ultimately enhancing the relevance of libraries in our ever-changing digital society. This article aims to investigate different uses of AI in libraries, including concepts such as expert systems, natural language processing, pattern recognition, and robotics. It also explores the pros and cons of AI. In recent years, there has been a resurgence of interest in AI. This article aims to gather perspectives on how AI could impact academic libraries and consider the implications for library workRespondents emphasized the impact of AI on research and resource discovery, scientific publishing, and learning. Challenges include concerns about libraries ignoring development priorities, ethical considerations, transparency in AI decisions, and data quality. Some see it as a potential threat to jobs. The study identified different potential roles for academic libraries, such as collecting and managing data, acquiring AI tools and building infrastructure, and supporting users to navigate data direction and control. This article stands out as one of the first examinations of current expectations regarding the impact of AI on academic libraries. The authors propose the concept of smart libraries to encompass the potential influence of AI on libraries.

Publisher

Arvin Arena

Reference20 articles.

1. Smith, A. (2023). Machine learning applications in cybersecurity: A comprehensive review. Journal of Computer Science and Engineering, 8(2), 45-67.

2. Wang, Y., & Zhang, L. (2023). Explainable AI techniques for improving transparency in cybersecurity. IEEE Security & Privacy, 25(4), 67-82.

3. Yang, X., & Li, M. (2022). Bias in machine learning algorithms: Implications for cybersecurity. Journal of Artificial Intelligence Research, 18(3), 102-119.

4. Zeadally, S., Adi, E., Baig, Z., & Khan, I. A. (2020). Harnessing artificial intelligence capabilities to improve cybersecurity. Ieee Access, 8, 23817-23837.

5. “Solving Roulette Wheel Selection Method using Swarm Intelligence for Tragjectory Planning of Intellignet System” by (IEEE) International Conference on Recent Trends in Electronics and Communication (ICRTEC), 03 May 2023, ISBN, 979-8-3503-9619-5/23 DOI 10.1109/ICRTEC56977.2023.10111861.Shashi Kant Gupta, Waseem Ahmad, Dimitrios A. Karras, Alex Khang, Chandra Kumar Dixit, Bhadrappa haralayya,

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3