Research on risk prevention and control of artificial intelligence training data labeling in the education field

Abstract

The development of artificial intelligence needs massive training data as the foundation. However, at this stage, artificial intelligence technology can not rely entirely on raw data for autonomous training. To complete the task of artificial intelligence training, it is necessary to add labels to the original data and mark them. The development of data labeling in the field of education is significant for the educational security of a country or region. Therefore, combined with the professional characteristics in the field of education, it is necessary to analyze the types and characteristics of artificial intelligence training data labeling, unify the quality characteristics of data labeling, clarify the relevant scheme design and process design, and improve the supervision system covering the whole process of data labeling.

Ähnliche Arbeiten