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Sexist AI is Even More Sexist Than We Thought

#artificialintelligence

Even if dataset curators created a removal process for specific photos or categories of images, "there's no such thing as an unbiased dataset," Steed said. That means the architects behind these widely used models need to stop claiming that more or better datasets will solve the problem and take more individual responsibility for what they're inputting into their systems, what's coming out, and how they might be used in intentionally or unintentionally harmful ways.


Racist, Sexist AI Could Be A Bigger Problem Than Lost Jobs

#artificialintelligence

Joy Buolamwini was conducting research at MIT on how computers recognized people's faces, when she started experiencing something weird. Whenever she sat before a system's front-facing camera, it wouldn't recognize her face, even after working for her lighter-skinned friends. But when she put on a simple white mask, the face-tracking animation suddenly lit up the screen. Suspecting a more widespread problem, she carried out a study on the AI-powered facial recognition systems of Microsoft, IBM and Face, a Chinese startup that has raised more than $500 million from investors. Buolamwini showed the systems 1,000 faces, and told them to identify each as male or female.


Racist, Sexist AI Could Be A Bigger Problem Than Lost Jobs

#artificialintelligence

Joy Buolamwini was conducting research at MIT on how computers recognized people's faces, when she started experiencing something weird. Whenever she sat before a system's front-facing camera, it wouldn't recognize her face, even after working for her lighter-skinned friends. But when she put on a simple white mask, the face-tracking animation suddenly lit up the screen. Suspecting a more widespread problem, she carried out a study on the AI-powered facial recognition systems of Microsoft, IBM and Face, a Chinese startup that has raised more than $500 million from investors. Buolamwini showed the systems 1,000 faces, and told them to identify each as male or female.