SYSTEM AND METHOD FOR TRAINING A MACHINE LEARNING MODEL

• Main Authors: STODDART, Laura, ZABALA, Francisco Javier Campos, DI STEFANO, Pietro, JONES, Gareth, HICKEY, James, VASILEIOU, Vlasios
• Format: Patent
• Language: English; French; German
• Published: 18.08.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

A system for training a machine learning model, the system comprising a data input unit configured to receive a training data set comprising a plurality of data points and a plurality of targets associated therewith, wherein a subset of the plurality of data points include a protected characteristic; a training unit operable to update a current model configuration of the machine learning model. The training unit comprising a prediction unit configured to receive the training data set as input and output a plurality of predicted scores based on the current model configuration of the machine learning model; and an optimisation unit configured to receive the plurality of predicted scores and subsequently determine an updated model configuration of the machine learning model. The system further comprising a control unit configured to constrain operation of the training unit based at least in part on an estimated relationship between the plurality of predicted scores and the protected characteristic such that the influence of the protected characteristic in a subsequent model configuration of the machine learning model is substantially mitigated.