- Last year, scientists made a driverless car that learned by watching humans
- But even the creators of the car did not understand how it learned this way
- In another study, a computer could pinpoint people with schizophrenia
- Again, its creators were unsure how it was able to do this
From driving cars to beating chess masters at their own game, computers are already performing incredible feats.
And artificial intelligence is quickly advancing, allowing computers to learn from experience without the need for human input.
But scientists are concerned that computers are already overtaking us in their abilities, raising the prospect that we could lose control of them altogether.
A recent report by PwC found that four in 10 jobs are at risk of being replaced by robots.
The report also found that 38 per cent of US jobs will be replaced by robots and artificial intelligence by the early 2030s.
The analysis revealed that 61 per cent of financial services jobs are at risk of a robot takeover.
This is compared to 30 per cent of UK jobs, 35 per cent of Germany and 21 per cent in Japan.
Last year, a driverless car took to the streets of New Jersey, which ran without any human intervention.
The car, created by Nvidia, could make its own decisions after watching how humans learned how to drive.
But despite creating the car, Nvidia admitted that it wasn’t sure how the car was able to learn in this way, according to MIT Technology Review.
The car’s underlying technology was ‘deep learning’ – a powerful tool based on the neural layout of the human brain.
Deep learning is used in a range of technologies, including tagging your friends on social media, and allowing Siri to answer questions.
The system is also being used by the military, which hopes to use deep learning to steer ships, destroy targets and control deadly drones.
There is also hope that deep learning could be used in medicine to diagnose rare diseases.
But if its creators lose control of the system, we’re in big trouble, experts claim…