Bias in AI representations: Race, Gender and Ethical Challenges

Media Type: Document, Handout(s), Helpsheet, Slides
Resource Duration: 90 minutes
Number of downloads: 50

This is Version 2 of our original workshop, available here:
Generative AI – A Problematic Illustration of the Intersections of Racialised Gender, Race and Ethnicity

Purpose:
This workshop deepens practical understanding of the complex and problematic nature of generative AI. It focuses on developing critical and analytical thinking about:

  • The foundations of generative AI
  • How it (re)produces bias related to race, ethnicity, and gender

Recommendations:

  • Before delivering this session, we strongly recommend reading the blog linked here
  • After the session, consider sharing the blog with students as part of their post-workshop materials

Feedback Request:
We are collecting feedback from both students and educators through this short online survey. It takes 5–10 minutes to complete — thank you!

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Learning Outcomes

  • Understand how AI systems can reflect and perpetuate racial and gender biases
  • Recognise and analyse biases in generative AI tools
  • Build skills to critically evaluate and challenge unjust stereotypes in AI outputs

Additional Resource Information

View resources by author(s): Nayiri Keshishi, Dustin Hosseini

Institution(s): University of Surrey, University of Strathclyde

Additonal Author(s): Dustin Hosseini

Additonal Institution(s): dustin.hosseini@cumbria.ac.uk

Published: 16/08/2025

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