Artificial intelligence (AI) systems tend to take on human biases and amplify them, causing people who use that AI to become more biased themselves, finds a new study by UCL researchers.

Human and AI biases can consequently create a feedback loop, with small initial biases increasing the risk of human error, according to the findings published in Nature Human Behaviour.

The researchers demonstrated that AI bias can have real-world consequences, as they found that people interacting with biased AIs became more likely to underestimate women’s performance and overestimate white men’s likelihood of holding high-status jobs.