(Alex Knight, Unsplash)
Picture a robot. What colour are you imagining? The chances are it’s white or metallic, because robots of other colours are few and far between, according to a new study.
That got the researchers from New Zealand’s University of Canterbury thinking: is there such a thing as race bias where robots are concerned? And, if there is, what are the implications?
Associate Professor Christoph Bartneck and his team drafted in 163 people to participate in the study.
To establish if people attribute something akin to racial qualities to robots and what effect that might have, they used what’s known as the shooter bias paradigm, along with a series of in-depth questions.
Threat perception
Shooter bias is a concept rooted in studies to determine if police officers are more likely to shoot people who aren’t white, regardless of any actual threat to life.
Bartneck and his team showed the participants a series of images: human and robot, armed and unarmed, black and white. If they perceived a threat, participants pushed a button that substituted for pulling the trigger of a gun.
The researchers looked at whether participants correctly identified aggressors from non-aggressors and their reaction time – and if they chose to shoot, the amount of time between seeing the image and hitting the button.
Researchers used different robots to determine when people perceived a threat.
Image: University of Canterbury
The results, published in the report Robots and Racism, show that unarmed black robots were shot more often than unarmed white ones. They were shot more quickly, too, indicating an instinctive reaction rather than an assessment of the visual information.
“This bias is both a clear indication of racism towards black people, as well as the automaticity of its extension to robots racialized as black,” say the report’s authors.
Developing diversity
Of course, robots cannot be said to have race in the way the word is applied to people. But that’s a distinction seemingly at odds with people’s perceptions.
Participants in the study were “able to easily and confidently identify the race of robots according to their racialization,” the report states.
If racial characteristics will be applied by people to robots, unwittingly or not, the development of diversity in robots will become important, they argue.
For anyone working in robot development, they say, these findings ought to inform the decisions they make around appearance: “If robots are supposed to function as teachers, friends, or carers, for instance, then it will be a serious problem if all of these roles are only ever occupied by robots that are racialized as white.”
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