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With so much buzz about AI at present, we invite blog post contributions which demystify key topics.

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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification – MIT Media Lab Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In […]

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When your resume is (not) turning you down: Modelling ethnic bias in resume screening

Resume screening is the first hurdle applicants typically face when they apply for a job. Despite the many empirical studies showing bias at the resume‐screening stage, fairness at this funnelling […]

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The danger of predictive algorithms in criminal justice

A study on the discriminatory impact of algorithms in pre-trial bail decisions.

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Racial disparities in automated speech recognition

Racial disparities in automated speech recognition Automated speech recognition (ASR) systems are now used in a variety of applications to convert spoken language to text, from virtual assistants, to closed […]

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‘Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions

The present experiment examined how people adjust their judgment after they learn that crucial information on which their initial evaluation was based is incorrect. In line with our expectations, the […]

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Responsible AI for Inclusive, Democratic Societies: A cross-disciplinary approach to detecting and countering abusive language online

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 […]

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Let’s Talk About Race: identity, chatbots, and AI

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 […]

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Racial bias in hate speech and abusive language detection datasets

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 […]

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Risk of racial bias in hate speech detection

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 […]

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Discrimination through optimization: How Facebook’s ad delivery can lead to skewed outcomes

The enormous financial success of online advertising platforms is partially due to the precise targeting features they offer. Although researchers and journalists have found many ways that advertisers can target […]

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Facial recognition

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In this work, we present […]

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