  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.
