Current study on human-computer interaction in machine learning

Abstract

Machine learning has become one of the research hotspots at home and internationally due to the continued growth of artificial intelligence, and the application of machine learning is more and more widely developed. In the process of applying machine learning methods to real problems, there are defects that lead to biased results. This paper discusses the importance and necessity of human-machine interaction in the application of machine learning methods, as well as where human-machine interaction occurs, and puts forward two questions: "whether human should interact with machine in the process of machine learning" and "how to make machine learning have better performance". To answer the above two questions, this paper concludes that in the application of machine learning methods, people with certain professional knowledge can get better results in the machine learning process. Further, when machine learning is applied to the real world, there are some flaws that lead to failure or unsatisfactory results, and this paper proposes a way to improve this undesirable phenomenon by involving people in the machine learning process. Finally, this paper summarizes the main shortcomings of current machine learning, clarifies the development direction of machine learning that must be anthropocentric, and expresses some views on machine learning.