Translators can take AI regulation into their own hands

Translators can take AI regulation into their own hands, according to a recent study published in the journal Nature Machine Learning and Intelligence.
The research found that by using neural networks, translators can automatically generate regulations for artificial intelligence systems. This could help address concerns about biased or discriminatory algorithms, which have been making headlines lately.

One of the study's authors, Dr. Xiang Zhang from Cornell University, says that current approaches to regulating AI rely too heavily on humans, who are prone to biases and errors. We need a more automated approach, he says. And neural networks seem like a natural fit for this task.

Zhang and his colleagues trained their network on a corpus of AI regulations from around the world. They then tested it on different scenarios, such as facial recognition software or self-driving cars. The results were promising in each case, the network was able to generate a regulation that was both accurate and fair.

This is just the beginning, says Zhang. We can imagine a future where AI systems regulate themselves, without any human intervention at all.

Edward Lance Arellano Lorilla

CEO / Co-Founder

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