Biometric scanners, such as face recognition technology, have seen widespread adoption in applications, such as identifying suspected criminals, analyzing candidate's facial expressions during job interviews, and [monitoring attendance at church](https://churchix.com/).
As these technologies have become more pervasive, many organizations have raised potential concerns about the way these technologies schematize faces. Studies have shown commercial face recognition software has noticeably lower accuracy on darker-skinned individuals, and automatic gender recognition systems regularly misgender trans and non-binary individuals.
In this talk, I will cover the known limitations of face recognition technology and the privacy concerns raised about these systems. At the end, I will cover how companies and government legislation aims to address these concerns.