Cited by 3Digital Communication and LanguageGender, Feminism, and MediaCybernetics and Technology in Society

Chatbodies

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Yue, Genevieve·2024·Representations

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Crossref · 10.1525/rep.2024.168.12.180

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  • Images generated by AI could promote bias due to their training data, system prompts, or responses to previous scandals.

    “The images generated by AI could also promote bias due to their training data, system prompts, or responses to previous scandals (see Robertson, 2024;Yue, 2024).”

    From A university framework for the responsible use of generative AI in research (2026) · cites this paper as Yue, 2024

    In “Chatbodies” (page unavailable), Yue says imaging technologies can encode discriminatory attitudes about race and gender, supporting the general concern about bias. The paper also describes a chatbot producing hateful statements after user interactions, but it does not establish that AI-generated images promote bias because of training data, system prompts, or responses to previous scandals. (LLM, conf=0.83)

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Research works printed but not linked: 10

  1. Harun Farocki, ''Phantom Images,'' Public 29 (2004): 12-22.
  2. Michel Chion, The Voice in Cinema, trans. Claudia Gorbman (New York, 1999).
  3. Thao Phan, ''Amazon Echo and the Aesthetic of Whiteness,'' Catalyst: Feminism, Theory, Technoscience 5, no. 1 (2019): 1, 4. 9. Ibid., 4.
  4. Amanda Cercas Curry and Verena Rieser, ''#MeToo: How Conversational Sys- tems Respond to Sexual Harassment,'' in Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing, Association for Computational Linguis- tics, January 2018, 7-14.
  5. Wendy Hui Kyong Chun and Sarah Friedland, ''Habits of Leaking: Of Sluts and Network Cards,'' differences 26, no. 2 (2015): 9.
  6. Cited in Matthew Handelman, ''Artificial Antisemitism: Critical Theory in the Age of Datafication,'' Critical Inquiry 48, no. 2 (2022): 228, 233. Chatbodies
  7. See, for instance: Ruha Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code (Cambridge, 2019);
  8. Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (New York, 2016); and Wendy Hui Kyong Chun, Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition (Cambridge, MA, 2021).
  9. Jessa Lingel and Kate Crawford, '''Alexa, Tell Me About Your Mother': The History of the Secretary and the End of Secrecy,'' Catalyst: Feminism, Theory, Technoscience 6, no. 1 (2020): 16.
  10. Zoe Vorsino, ''Chatbots, Gender, and Race on Web 2.0 Platforms: Tay.AI as Monstrous Femininity and Abject Whiteness,'' Signs: Journal of Women in Culture and Society 47, no. 1 (2021): 114.

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Authors
Yue, G.
Corresponding author
Yue, Genevieve
Venue
Representations
Published
2024
Volume
168
Issue
1
Pages
180-201
ISSN
  • 0734-6018 (ISSN-L)
  • 1533-855X
OpenAlex
W4404316218
Cited by
3
References
0
Citations by year
2025: 3
FWCI
0.89
Type
journal article
Language
en
Open access
Locations
Representations (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
  • Social Sciences › Gender Studies › Gender, Feminism, and Media
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
Keywords
chatbots, embodiment, digital body, human-AI interaction

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