Sex and Gender in the Computer Graphics Research Literature

• URL: http://arxiv.org/abs/2206.00480v1
• Date: Wed, 1 Jun 2022 13:24:17 GMT
• Title: Sex and Gender in the Computer Graphics Research Literature
• Authors: Ana Dodik, Silvia Sell\'an, Theodore Kim, Amanda Phillips
• Abstract summary: 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.
• Score: 4.05984965639419
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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.

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