Please use this identifier to cite or link to this item: http://hdl.handle.net/11667/284
Appears in Collections:University of Stirling Research Data
Title: BIBO
Other Titles: Bias In, Bias Out: A Human-Validated Audit of Default-European Race-to-Role Assignment for High-Status Roles across Four Text-to-Image Models
Creator(s): Ali, Hazrat
Jafri, Baqar
Contact Email: ali.hazrat@stir.ac.uk
Keywords: Computer Vision
Generative AI
Large Language Models
Race
Bias
Representational Harm
Date Available: 6-Nov-2026
Citation: Ali, H; Jafri, B (2026): BIBO [Bias In, Bias Out: A Human-Validated Audit of Default-European Race-to-Role Assignment for High-Status Roles across Four Text-to-Image Models]. University of Stirling. Dataset. https://doi.org/10.34722/sndm-kx77
Publisher: University of Stirling
Dataset Description (Abstract): The BIBO dataset. This dataset provides the companion image corpus for the BIBO study. BIBO study stands for Bias In, Bias Out: A Human-Validated Audit of Default-European Race-to-Role Assignment for High-Status Roles across Four Text-to-Image Models, as detailed on https://hazratali.github.io/bibo/ and https://bibo.stir.ac.uk/. The README file provides a detailed folder structure of the data directory.
Dataset Description (TOC): BIBO image corpus: A detailed structure of the folders and sub-folders is provided in the README file.
Type: dataset
image
Time Period: 2026
URI: http://hdl.handle.net/11667/284
Rights: Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/
3rd Party/Embedded Rights: The dataset contains images generated by AI models as listed in the dataset description.
Affiliation(s) of Dataset Creator(s): University of Stirling (Computing Science)
University of Stirling (Marketing)

Files in This Item:
File Description SizeFormat 
BIBO.zipNote: very large file that may take a long time to download1.6 GBZIPView/Open
README_BIBO_directory_structure.txt4.16 kBTextView/Open


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