MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD AND INFORMATION PROCESSING DEVICE

• Main Author: NAKAO YURI
• Format: Patent
• Language: English; Japanese
• Published: 15.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

To provide a machine learning program that corrects a machine learning model so as to be applicable to various fairness evaluation standards, a machine learning method and an information processing device.SOLUTION: In an AI system, a control unit 115 includes: a classification result obtaining unit that obtains plural classification results on plural pieces of data obtained by inputting each of the plural pieces of data into a machine learning model; an attribute identifying unit that identifies, on the basis of the plural classification results, first plural attributes that have a difference in attribute value between plural pieces of first data and plural pieces of second data satisfying a standard among plural attributes contained in the plural pieces of first data classified in a first group and in the plural pieces of second data classified in a second group; a label determining unit that determines the respective labels of the plural pieces of data on the basis of a first reference obtained by combining the plural first attributes; and a training unit that trains the machine learning model on the basis of the determined labels and of the plural pieces of data.SELECTED DRAWING: Figure 7 【課題】多様な公平性の評価基準に適応可能なように機械学習モデルを修正する機械学習プログラム、機械学習方法及び情報処理装置を提供する。【解決手段】ＡＩシステムにおいて、制御部１１５は、複数のデータのそれぞれを機械学習モデルへ入力することによって得られる複数のデータの複数の分類結果を取得する分類結果取得部と、複数の分類結果に基づいて、複数のデータのうち第１のグループに分類された第１の複数のデータと第２のグループに分類された第２の複数のデータとの夫々に含まれる複数の属性のうち、第１の複数のデータと第２の複数のデータとの間で属性の値の差が基準を満たす第１の複数の属性を特定する属性特定部と、第１の複数の属性を組み合わせた第１の指標に基づいて、複数のデータの夫々のラベルを決定するラベル決定部と、決定したラベルと複数のデータに基づいて、機械学習モデルを訓練する訓練部と、を含む。【選択図】図７