Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.
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AI has a stereotyping problem
Type 'board meeting' into even the best AI image generators and chances are high it will populate with rows of white men in suits. While headlines about AI often centre on hype or alarm, bias is ...
In this special guest feature, Sinan Ozdemir, Director of Data Science at Directly, points out how algorithmic bias has been one of the most talked-about issues in AI for years, yet it remains one of ...
What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...
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