Bias detection and estimation under technical portfolio reviews

A computer program product for bias detection, the computer program product comprising a computer-readable storage medium having program instructions embodied therewith for generating a contextual measurement of class and methodological bias in a review processes, the program instructions executable by a computer to cause the computer to perform:

• creating a context of an applicant based on a profile of the applicant and a context of a reviewer based on a profile of the reviewer;
• predicting a probability of overlapping data points between the applicant and the reviewer,
• building enriched embeddings for a deep learning model based on the context of the applicant, the context of the reviewer, the overlapping data points, and text from a review and a final decision by the reviewer;
• and
• calculating a bias score via a deep learning model run over the enriched embeddings.

A bias detection system for generating a contextual measurement of class and methodological bias in a review processes, the system comprising:

• a processor;
• and
• a memory, the memory storing instructions to cause the processor to perform:
• creating a context of an applicant based on a profile of the applicant and a context of a reviewer based on a profile of the reviewer;
• predicting a probability of overlapping data points between the applicant and the reviewer,
• building enriched embeddings for a deep learning model based on the context of the applicant, the context of the reviewer, the overlapping data points, and text from a review and a final decision by the reviewer;
• and
• calculating a bias score via a deep learning model run over the enriched embeddings.