Bodies, identities, queer theory and artificial intelligence: dialogues

Authors

DOI:

https://doi.org/10.1590/1806-9584-2024v32n298931

Keywords:

queer, Inteligência artificial

Downloads

Download data is not yet available.

Author Biography

Allyson Carvalho Araújo, Universidade Federal do Rio Grande do Norte

Allyson Carvalho de Araújo é doutor em Comunicação pela Universidade Federal de Pernambuco. Professor Adjunto III da Universidade Federal do Rio Grande do Norte e atua como professor permanente no Programa de Pós-graduação em Educação (PPGEd) e no Programa de Pós-graduação em Educação Física (PPGEF).

References

DEL CAMPO, Matias; LEACH, Neil (orgs.). Machine Hallucinations. Architecture and Artificial Intelligence. Hoboken: Wiley, 2022.

KLIPPHAHN-KARGE, Michael; KOSTER, Ann-Kathrin; BRUSS, Sara Morais dos Santos (org.) Queer Reflections on AI: Uncertain Intelligences. New York: Routledge, 2024.

NOBLE, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. New York: New York University Press, 2018

Downloads

Published

2024-09-23

How to Cite

Araújo, A. C. (2024). Bodies, identities, queer theory and artificial intelligence: dialogues: . Revista Estudos Feministas, 32(2). https://doi.org/10.1590/1806-9584-2024v32n298931

Issue

Vol. 32 No. 2 (2024)

Section

Reviews

License

Copyright (c) 2024 Revista Estudos Feministas

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Revista Estudos Feministas is under the Creative Commons International 4.0 Attribution License (CC BY 4.0), that allows sharing the work with recognition of authorship and initial publication in this journal.

The license allows:

Sharing (copying and redistributing the material in any support or format) and/or adapting (remixing, transforming, and creating from the material) for any purpose, even if commercial.

The licensor cannot revoke these rights provided the terms of the license are respected. The terms are the following:

Attribution – you should give the appropriate credit, provide a link to the license and indicate if changes were made. This can be done in several ways without suggesting that the licensor has approved of the use.

Without additional restrictions – You cannot apply legal terms or technological measures that prevent others from doing something allowed by the license.