@inproceedings{a82518392f994f3eab9ce0083bbbeac8,
title = "Analyzing demographic bias in artificially generated facial pictures",
abstract = "Artificial generation of facial images is increasingly popular, with machine learning achieving photo-realistic results. Yet, there is a concern that the generated images might not fairly represent all demographic groups. We use a state-of-the-art method to generate 10,000 facial images and find that the generated images are skewed towards young people, especially white women. We provide recommendations to reduce demographic bias in artificial image generation.",
keywords = "Bias, Demographics, Faces, Image generation",
author = "Joni Salminen and Jung, {Soon Gyo} and Shammur Chowdhury and Jansen, {Bernard J.}",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 ; Conference date: 25-04-2020 Through 30-04-2020",
year = "2020",
month = apr,
day = "25",
doi = "10.1145/3334480.3382791",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}