Sex and Gender in the Computer Graphics Research Literature

TL;DR

This paper reviews how sex and gender are addressed in computer graphics research, highlighting scientific inaccuracies and biases, and suggests technical solutions to improve fairness and reduce harm.

Contribution

It critically analyzes current practices on sex and gender in computer graphics, identifying biases and proposing methods to address them.

Findings

Current practices are scientifically incorrect.

Existing methods contribute to algorithmic bias.

Proposed solutions aim to mitigate bias and harm.

Abstract

We survey the treatment of sex and gender in the Computer Graphics research literature from an algorithmic fairness perspective. The established practices on the use of gender and sex in our community are scientifically incorrect and constitute a form of algorithmic bias with potential harmful effects. We propose ways of addressing these as technical limitations.