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Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines
[conference paper]
Abstract Web search engines influence perception of social reality by filtering and ranking information. However, their outputs are often subjected to bias that can lead to skewed representation of subjects such as professional occupations or gender. In our paper, we use a mixed-method approach to investigat... view more
Web search engines influence perception of social reality by filtering and ranking information. However, their outputs are often subjected to bias that can lead to skewed representation of subjects such as professional occupations or gender. In our paper, we use a mixed-method approach to investigate presence of race and gender bias in representation of artificial intelligence (AI) in image search results coming from six different search engines. Our findings show that search engines prioritize anthropomorphic images of AI that portray it as white, whereas non-white images of AI are present only in non-Western search engines. By contrast, gender representation of AI is more diverse and less skewed towards a specific gender that can be attributed to higher awareness about gender bias in search outputs. Our observations indicate both the need and the possibility for addressing bias in representation of societally relevant subjects, such as technological innovation, and emphasize the importance of designing new approaches for detecting bias in information retrieval systems.... view less
Keywords
online service; artificial intelligence; information retrieval; algorithm; representation; search engine; trend
Classification
Interactive, electronic Media
Free Keywords
web search; bias; artificial intelligence
Collection Title
Advances in Bias and Fairness in Information Retrieval
Editor
Boratto, Ludovico; Faralli, Stefano; Marras, Mirko; Stilo, Giovanni
Conference
Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021. Lucca, Italy
Document language
English
Publication Year
2021
Publisher
Springer
Page/Pages
p. 1-16
Series
Communications in Computer and Information Science, 1418
DOI
https://doi.org/10.1007/978-3-030-78818-6_5
ISBN
978-3-030-78818-6
Status
Preprint; not reviewed
Licence
Deposit Licence - No Redistribution, No Modifications