DETECTING BIAS IN ARTIFICIAL INTELLIGENCE SOFTWARE BY ANALYSIS OF SOURCE CODE CONTRIBUTIONS
Patent №
US 11,301,245
Granted
2022-04-12
Filed 2020
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
5
ml · nlp · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16857694
Techniques are provided for determining bias in an artificial intelligence/machine learning system. A plurality of users contributing to content of the source code base are identified. A plurality of user contributions are generated by determining each user contribution to the source code base by analyzing attributes of the content. The plurality of user contributions are mapped to respective profiles of the users. A determination is made as to whether categories of contribution defined for the source code base are met, based upon the mapping of the plurality of user contributions to respective profiles.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 524880714
Assignors
DELUCA, LISA SEACAT, ANDERS, KELLEY, SILVERSTEIN, ZACHARY A., FOX, JEREMY R.
On an employer assignment, the assignors are typically the inventors.