Detecting bias in artificial intelligence software by analysis of source code contributions

摘要

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.