arXiv Open Access 2022

Sex and Gender in the Computer Graphics Research Literature

Ana Dodik Silvia Sellán Theodore Kim Amanda Phillips
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (4)

A

Ana Dodik

S

Silvia Sellán

T

Theodore Kim

A

Amanda Phillips

Format Sitasi

Dodik, A., Sellán, S., Kim, T., Phillips, A. (2022). Sex and Gender in the Computer Graphics Research Literature. https://arxiv.org/abs/2206.00480

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓