AI tools are used to spot potentially harmful comments, posts and content and remove them from discussion boards and social media platforms. These tools may often misconstrue language that is culturally different, effectively censoring people’s voices.
This film cuts across all areas of potential racial bias in AI in an engaging documentary film format.
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Research paper about responsible AI Toxic and abusive language threaten the integrity of public dialogue and democracy. In response, governments worldwide have enacted strong laws against abusive language that leads to hatred, violence and criminal offences against a particular group. The responsible (i.e. effective, fair and unbiased) moderation of abusive language carries significant challenges. Our […]
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A research paper about race and AI chatbots Why is it so hard for AI chatbots to talk about race? By researching databases, natural language processing, and machine learning in conjunction with critical, intersectional theories, we investigate the technical and theoretical constructs underpinning the problem space of race and chatbots. This paper questions how to […]
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A paper on racial bias in hate speech Technologies for abusive language detection are being developed and applied with little consideration of their potential biases. We examine racial bias in five different sets of Twitter data annotated for hate speech and abusive language. Tweets written in African-American English are far more likely to be automatically […]
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Risk of racial bias in hate speech detection This research paper investigates how insensitivity to differences in dialect can lead to racial bias in automatic hate speech detection models, potentially amplifying harm against minority populations.
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The algorithms that detect hate speech online are biased against black people A new study shows that leading AI models are 1.5 times more likely to flag tweets written by African Americans as “offensive” compared to other tweets.
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Abolish the #TechToPrisonPipeline Crime-prediction technology reproduces injustices & causes real harm. The open letter highlights why crime predicting technologies tend to be inherently racist.
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AI researchers say scientific publishers help perpetuate racist algorithms The news: An open letter from a growing coalition of AI researchers is calling out scientific publisher Springer Nature for a conference paper it reportedly planned to include in its forthcoming book Transactions on Computational Science & Computational Intelligence. The paper, titled “A Deep Neural… Crime […]
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