The use of artificial intelligence (AI) has transformed several industries, including research and education. Due to relevance and global competitiveness, in the present scenario incorporation of artificial intelligence in library workflow is inevitable. Libraries are changing in the age of information explosions to keep up with technological improvements and provide access to the greatest information while avoiding obstacles. This chapter provides a thorough description of the use of artificial intelligence (AI) tools and techniques in distinct sections of Library management and services. Creating devices that can imagine and work like humanoid brains is the aim of artificial intelligence. Artificial intelligence integration has the potential to improve library space intelligence and eliminate physical obstacles. The chapter offers a complete grasp of how AI could alter library infrastructure and services in the future, leading to better outcomes for readers, educators, researchers, and students.
TopIntroduction
The modern world is greatly impacted by technologies and individuals, radically changing our behaviors, emotions, thoughts, and ways of interacting and communicating. Rapid and significant technical breakthroughs are changing teaching and learning approaches at the same time, which is gradually changing the nature of education. Artificial intelligence (AI) is a discipline devoted to solving problems related to human cognition, and it has a remarkable impact on education.
The industry currently refers to the rapidly developing artificial intelligence (AI) technology as the fourth industrial revolution (Park, 2017). In 1956, the official proposal of artificial intelligence was made at an academic meeting in Dartmouth, USA. Additionally, this symposium was acknowledged as a milestone in the development of artificial intelligence worldwide (McCarthy, 2019). The fields of computer science, control science, information science, cognitive science, neuroscience, euro physiology, psychology, linguistics, and brain science have all contributed to the development of artificial intelligence as a comprehensive field. Its main goals are to imitate human intelligence activities, advance the science of human intelligence, and research the creation of intelligent computers or systems. Three categories of artificial intelligence exist: behaviorism, connectionism, and symbolism. Symbolism is a type of intelligent simulation that mimics intelligent human behavior using logical reasoning (Pence, 2014). The learning algorithm and connection mechanism between one neural network and another are the fundamental idea of connectionism. Perceptual-action control and cybernetic theory underpin behaviorism. Problem solving, natural language processing, artificial neural networks, genetic algorithms, expert systems, knowledge engineering, artificial life, deep learning, intelligent control, etc. are now the most popular technical domains in artificial intelligence research (Haibin, 2016).
There are four distinct phases in the evolution of artificial intelligence from 1956 to the present (Kunying, 2017). In the realm of artificial intelligence research, a diverse array of technologies is explored, ranging from expert systems such as flight tracking and medical diagnostics, to natural language processing, exemplified by speech recognition and automatic speech output. Additionally, neural networks play a crucial role, particularly in pattern recognition systems for tasks such as face, character, and handwriting recognition. Furthermore, robots, encompassing industrial and consulting variants, are also integral components of this field's investigation. A few academics further categorize artificial intelligence into the following fields: machine learning, robotics, computer vision, natural language processing, cognition and reasoning, and gaming ethics (Warwick, 2011).
There are numerous classification schemes and a fairly broad definition of artificial intelligence. Artificial intelligence can be classified into three categories based on its overall level: weak artificial intelligence, which is only good in certain areas, strong artificial intelligence, which is comparable to human intelligence, and super artificial intelligence, which is superior to human intelligence overall. Humans have mastered weak artificial intelligence, but strong artificial intelligence has not yet been achieved (Hongwei, 2018), according to the total level of artificial intelligence progress.
Both educators and students use artificial intelligence (AI) applications in education (AIEd) on a large scale these days. These AIEd solutions improve education in conventional classrooms and workplaces by fusing AI with a number of learning sciences, including education, psychology, linguistics, and neuroscience. The primary goal is to push and encourage the development of efficient, adaptable, and personalized AI-driven educational apps (Chen, 2020)
In the era of information explosions libraries are also evolving and accommodate with technological advancements and access best information by avoiding various barriers which is required to face. To manage a smart library, various software and tools are using to complete the routine library practices along with introducing new services. RFID technology, the Internet of Things, big data, cloud computing, artificial intelligence, and other cutting-edge technologies are used to deliver the best and most intelligent library services.