Diploma paper with the help of artificial intelligence technologies: falsification or original independent research?

Abstract

Introduction. Artificial intelligence technologies are increasingly finding way into various spheres of life. Academic research is no exception. In view of this, there is a need to study the independence (originality) of the thesis research, performed using a neural network, as the main criterion for its quality. Materials and Methods. The study, first of all, is based on the analysis and assessment of the opinions of various experts in the field of development of artificial intelligence systems, science and education. The study of different ways of conducting research in modern conditions was carried out using descriptive and comparative methods of scientific knowledge. Analysis. The study suggests an assessment of the fact that a work written with artificial intelligence technologies is recognized as an independently performed study. The opinions of various experts in the field of development of artificial intelligence systems, science and education are given. Various methods of conducting research in modern conditions are analyzed. Results. The authors believe that it is impossible to write an original study with a neural network, especially in the legal sphere, without active participation of a person. Since the originality of the study means conducting it for the first time using new methods, tools and obtaining new results and conclusions. A neural network (chat-GPT system) is not capable of creating new information (inventing something new) because it is based on texts that have been written by people before, and therefore it will not be able to conduct its own research. The final conclusion is made about the possibility of using an artificial intelligence system as a tool (means) to solve only standard problems (for example, checking errors, translating foreign literature, collecting generalized scientific material, designing work, etc.) in the process of writing a thesis.

Keywords

• artificial intelligence
• originality
• novelty
• research
• independence
• algorithm
• neural network
• tool
• active participant
• large amount of information