Overview

For example, before embedding gender classification into a facial analysis service or incorporating gender into image labelling, it is important to consider what purpose gender is serving. Furthermore, it is important to consider how gender will be defined, and whether that perspective is unnecessarily exclusionary (for example, non-binary). Therefore, stakeholders involved in the development of facial analysis services and image datasets should assess the potentially negative and harmful consequences their service might be used for—including emotional, social, physical, and systematic (state or governmental) harms.