Abstract
In the past, human imagination about intelligent machines was only found in the science fiction of storybooks and films. Today, artificial intelligence (AI) can be found in people's daily lives. Various professions should prepare to face the automation era in the future. Libraries may be one of the slowest institutions to develop AI. Gradually, the institution adopts it for their services. Many papers focus on AI development in libraries, but the opportunities and challenges for librarians to face the era of automation are essential to discuss. This chapter provides insights into the professions that librarians can offer. First, this chapter provides information on the history and development of AI in library services. Then, based on bibliometric analysis, this chapter discusses AI trends in library services. Next, this chapter conducts a systematic review and presents the types of AI developed over time for library services. Finally, this chapter discusses the types of jobs, expertise, and skills that librarians can develop in the robotics era in the future.
TopBackground
Numbers of motivations and suggestions have been proposed for survival in the new world of the library. Libraries, both academics and public, have the opportunity to be used by people who need information about skills and knowledge that are in line with the new world. Public libraries can play a role in helping the workforce acquire AI skills (Finley, 2019). Alternatively, exert ourselves to practice quantitative and analytical skills to learn the value of big data and understand the algorithms that can make the machine work (Arlitsch & Newell, 2017). Adopting AI into library services may provide positive improvements for library services. However, the positive side of AI intrusion still needs to be explored further (Massis, 2018). Ratledge (2017) argued that a robot at the service desk became common in the new world as long as the changes are not too sudden and societies have time to adapt.
Key Terms in this Chapter
Big Data: Data with greater variety, volume, and velocity that traditional data processing software cannot manage.
Co-Occurrence: A linguistic term, which means the two terms that appear together in the text corpus.
RFID: Radio Frequency Identification (RFID) is a technology that uses electromagnetic fields or radio waves to identify the tags attached to objects automatically.
Virtual References Services: A referral service without a physical presence. It is conducted electronically, often in real-time, where customers use computers or other Internet technologies to communicate with library staff.
Chatbots: Short for chatterbot, is an AI feature, a computer program that simulates text chat or human conversation via voice commands or both.
Information Retrieval: The science of searching for information within a document, searching for the document itself, searching for metadata representing a document, or searching in a hypertext collection such as the Internet or an intranet.
Image Recognition: Is the ability of a system or software to identify objects, places, people, writing, and actions in images. Computers are combined with cameras and artificial intelligence software and trained algorithms to achieve image recognition.
Smart Libraries: A library with strategic design and applying advanced technology, such as artificial intelligence, cloud computing, and data mining.
Machine Learning: Machine learning (ML) is a type of artificial intelligence (AI) that trains applications with historical data, where they become accurate in predicting outcomes because they have been trained beforehand.