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How self-taught machines could revolutionise transport

A major assessment of how self-improving machines could impact on our society is to consider the potential effect on transport systems.

Science academy the Royal Society announced plans for a policy project on how machine learning might impact on the UK.

Machine learning underpins internet search engines, many smart phone applications and personalised online suggestions.

Professor Peter Donnelly, chair of the Royal Society’s working group on machine learning, said: “Many of us don’t realise just how many of our daily interactions involve machine learning, and what a powerful impact it has.

“Looking forward, machine learning could improve disease diagnoses and personalised treatments, and power driverless vehicles that could revolutionise transport systems. 

“As well as increasing awareness of the potential applications of the technology, we want to raise the level of public debate and identify key scientific and technical challenges and the social, ethical and legal issues raised by machine learning.”

A number of public events will be held and the project will have a variety of outputs, including a policy report. The Royal Society is open to submissions of evidence for this project.

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