Apparatus and method for selecting adaptive sample data

An apparatus for selecting adaptive sample data, comprising:

• a memory in which a sample selection program is stored;
• and
• a processor configured to execute the sample selection program, wherein the sample selection program is configured to:
• receive target data input to a pre-learned artificial intelligence model, generate a first temporary data set by replacing the target data with first sample data included in a sample data set, generate a second temporary data set by replacing the target data with second sample data that is different from the first sample data included in the sample data set, calculate diversity of the first and second temporary data sets and compare the diversity of the first and second temporary data sets and diversity of the sample data set with each other, and change any one of the first and second temporary data sets of which the diversity comparison result satisfies a replacement condition to the sample data set,
• wherein the sample data is the target data previously input to the artificial intelligence model, and
• wherein the diversity numerically indicates a degree of bias with which plural pieces of data included in one of the sample data set, the first temporary data set, and the second temporary data set are biased toward a specific class