# Integration of Artificial Intelligence in Art Preservation and Exhibition Spaces
## 2 Literature Review  
### Development and Definition of Artificial Intelligence  
The term \"artificial intelligence\" was first introduced by [PERSON] [2] in his 1950 paper \"Computing Machinery and Intelligence\" and was later used by [PERSON] at the Dartmouth Conference in 1956 [3], which is often considered the birthplace of AI as a field of study. AI research focuses on enabling machines to simulate and perform tasks that typically require human intelligence, which include learning, reasoning, understanding, and problem-solving, with the ultimate goal of surpassing human capabilities in certain domains. [PERSON] [4] defines intelligence as the ability to achieve complex goals, and the ultimate goal of AI is to create \"Artificial General Intelligence\" (AGI) which would possess human-like cognitive abilities.  
In recent years, significant breakthroughs have been made in the application of AI in art and cultural heritage preservation. [PERSON] and [PERSON] [5] point out that AI applicationsin cultural heritage preservation include visual inspection, structural health monitoring, digital modeling, and intangible heritage. [PERSON], [PERSON], and [PERSON] [6] emphasize that AI can assist in art restoration by using high-resolution scans to analyze patterns, colors, and textures in images, thereby aiding restoreers in the recovery of damaged materials.  
AI's development has been marked by various definitions and interpretations. According to a chapter in \"Mission AI\" by [PERSON], [PERSON], and [PERSON] [7], AI can be broadly defined as the technology that enables machines to imitate complex human skills, such as perception, cognition, and decision-making. This definition underscores the multifaceted nature of AI, which encompasses a wide range of applications, from simple algorithms to sophisticated neural networks. The European Commission's High-Level Expert Group on Artificial Intelligence (AI HLEG) [7] further refines this definition by describing AI systems as those that display intelligent behavior by analyzing their environment and taking actions with some degree of autonomy to achieve specific goals.  
Moreover, the evolution of AI has been influenced by its ability to perform tasks that require human-like perception and cognition. As noted by NASA (2024) [8], AI systems are designed to solve tasks that involve human-like perception, planning, learning, and physical action. This broad scope of AI applications highlights its potential to transform various fields, including art preservation and exhibition, by providing innovative solutions that enhance efficiency and accuracy.  
According to UNESCO, there are currently eight major controversies surrounding the use of generative AI tools in education. These include the worsening of digital poverty, the rapid development outpacing legal regulations, the use of data without informed consent, the opacity of the information generation process, the AI-generated content becoming searchable online, the lack of understanding of the real world, the further marginalization of minority voices, and the production of more advanced deepfake technologies [9]. These controversies present significant risks in the educational use of AI tools and could be applied to other fields to prevent further disputes. This broad scope of AI applications highlights its potential to transform various fields, including art preservation and exhibition, by providing innovative solutions that enhance efficiency and accuracy.