Race and AI-Generated Content: Kin or Foe?

Race and AI-Generated Content: Kin or Foe?

🎙 Dr. Nessa Keddo 👥 1K 📅 October 17, 2025 ⏱ 57 min 👁 96 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

AIraceadvertisinginfluencersethics

Summary

In this seminar, Dr. Nessa Keddo examines the intersection of race and AI-generated content, focusing on two areas: AI automated advertising and Black AI-generated influencers. She argues that these technologies can perpetuate racial inequalities and violence against marginalized communities. She discusses how AI tools like ChatGPT’s advanced voice mode allow users to play with racial linguistics, but also how Black cultural identity and suffering are monetized through AI influencers like Shiggram. She highlights the dangers of AI-generated content, such as the manipulation of identities and the potential for racial targeting in advertising. She presents examples from her research, including a study of TikTok videos and a survey of advertising practitioners, to illustrate these concerns. She concludes by calling for stronger policy to address the societal impact of poorly regulated AI.

130 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides valuable insights into the often-overlooked racial implications of AI-generated content. Dr. Keddo’s argumentation is compelling, drawing on her background in advertising and academic research. She effectively uses examples to illustrate her points, such as the TikTok videos and the Next clothing campaign. However, the argumentation could be strengthened by more systematic data and a clearer framework for analysis.

Scientific Rigor, Source Quality, Title Accuracy

Dr. Keddo references several scholars and works, including Andre Brock, Ruha Benjamin, Safia Noble, and the book ‘Technoskepticism’. She also mentions her own upcoming paper with Dr. Rianna Walcott. The sources are relevant and credible, but the talk would benefit from more explicit citations and references. The title accurately reflects the content, which explores the relationship between race and AI-generated content, questioning whether it is beneficial or harmful.

144 words

Title / Content Match

The title accurately reflects the content, which explores the relationship between race and AI-generated content, questioning whether it is beneficial or harmful.

Quality & Reliability

8/10

The talk is grounded in academic research and references established scholars, but relies heavily on anecdotal examples and personal observations, with limited empirical data presented.

Key Moments

Cited Sources

  • Technoskepticism: Between Possibility and Refusal — Referenced as a book that informs the framework for analyzing user interactions with AI.
  • Race and Racism in the Cultural and Creative Industries (upcoming book) — Co-authored by Dr. Keddo, mentioned as forthcoming.

Concurring Sources

  • Algorithms of Oppression — Safia Noble's work on how search engines reinforce racism, aligning with the talk's themes.
  • Race After Technology — Ruha Benjamin's book on the social implications of technology, supporting the argument.

Dissenting Sources

  • AI and the Future of Advertising — Some may argue that AI in advertising can reduce bias by removing human subjectivity, but this talk highlights the opposite.

Contribution & Novelties

The talk offers a critical perspective on the racial implications of AI-generated content, particularly in advertising and influencer culture. It highlights the potential for AI to perpetuate racial stereotypes and inequalities, and calls for stronger policy. The discussion of Black AI influencers and the monetization of Black identity is particularly novel.

Pour aller plus loin :

  • Critical Technocultural Discourse Analysis — A framework used to analyze technology and culture.
  • Algorithmic bias — Relevant to the discussion of racial targeting in AI.
  • Deepfake — Relevant to the manipulation of identities in AI-generated content.

92 words

Radar Profile

The radar profile shows high scores in quality of information and reliability, but lower in technical level, indicating a focus on social implications rather than technical details.

Reliability 7/10