Impact of Artificial Intelligence (AI) applications on academic libraries

2021 ◽  
Vol 15 (1) ◽  
pp. 46-52
Author(s):  
Annavarapu Mallikarjuna ◽  
N. Prabhakar
2020 ◽  
Vol 15 (1) ◽  
pp. 35-50
Author(s):  
Sam Popowich

Academic libraries have recently seen a shift from self-management of user-authentication of licensed resources themselves, to cloud-based implementations of "federated identity" technologies. Such technologies aim to solve the problems of fragile access to licensed resources while also better protecting publishers' intellectual property. However, federated identity systems raise a host of issues regarding privacy, surveillance, machinic subjection, and algorithmic governance. This paper traces the development of federated identity systems out of earlier authentication processes, shows how such systems use artificial intelligence techniques to create a trackable "data body" for each student, and then analyzes this whole procedure through the critical theories of Maurizio Lazzarato and Bernard Stiegler. In conclusion, the article argues that the emergent nature of the "data body" creates ambiguity between the hyper-control of contemporary technologies and the possibility of resisting them.


2020 ◽  
Vol 37 (3) ◽  
pp. 116-124
Author(s):  
Muhammad Yousuf Ali ◽  
Salaman Bin Naeem ◽  
Rubina Bhatti

The main purpose of this paper is to assess and examine the possible application of Artificial Intelligence (AI) tools in Pakistani academic libraries, particularly those areas of library technical and library user services where AI could be applied in the near future. A secondary purpose is to bring the library perspective on AI to the forefront of the scholarly world. This is a self-exploratory study, in which a qualitative approach interview has been conducted with 10 chief librarians/library heads (5 public + 5 private sectors) from universities regarding their views on the adoption of artificial intelligence tools in Pakistani academic libraries. Results are tabulated in a descriptive format. Librarians are aware of AI technologies. Services based on Natural Language Processing (NLP) are used in libraries, e.g. Google Assistant, Voice Searching, and Google Translate. Pattern recognition methods, such as text data mining, are also used to retrieve library material and conduct online searching. Big data is accessed via services such as cloud computing, OneDrive, and Google Drive. There is a very low level of awareness of robotics and chatbots. This study provides librarians with suggestions as to how AI tools could be used in libraries which either have yet to adopt AI technologies or wish to implement more advanced tools. Pakistani library schools could collaborate with computer science departments to establish AI Labs in the respective library and information science (LIS) departments/libraries. AI challenges funding and technological skills are the key problem to implement with AI in the University Libraries.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

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