Bias mitigation in machine learning pipeline
摘要:
According to an aspect of an embodiment, operations include controlling a user device to display a plurality of task-specific questions onto an electronic user interface (UI) of the user device. Each task-specific question corresponds to a check for presence of a bias in one of a sequence of development phases of a machine learning (ML) model. The operations further include receiving a first input comprising a plurality of user responses corresponding to the displayed plurality of task-specific questions and determining a set of biases associated with the ML model based on the received first input. The operations further include controlling the user device to display the determined set of biases and a set of plausible actions to mitigate an effect of the determined set of biases on the ML model.
公开/授权文献
信息查询
0/0