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Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines
[Konferenzbeitrag]
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... mehr
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.... weniger
Thesaurusschlagwörter
Repräsentation; künstliche Intelligenz; Algorithmus; Online-Dienst; Trend; Suchmaschine; information retrieval
Klassifikation
interaktive, elektronische Medien
Freie Schlagwörter
web search; bias; artificial intelligence
Titel Sammelwerk, Herausgeber- oder Konferenzband
Advances in Bias and Fairness in Information Retrieval
Herausgeber
Boratto, Ludovico; Faralli, Stefano; Marras, Mirko; Stilo, Giovanni
Konferenz
Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021. Lucca, Italy
Sprache Dokument
Englisch
Publikationsjahr
2021
Verlag
Springer
Seitenangabe
S. 1-16
Schriftenreihe
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; nicht begutachtet
Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung