New process to help tech firms develop safer AI

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A team of UK computer scientists has developed a ground-breaking process that will help to make machine learning (ML) for autonomous technologies safer.

www.newelectronics.co.uk, Mar. 14, 2022 – 

The procedure has been developed to help engineers build a safety case that explicitly and systematically establishes confidence in the ML long before ending up in the hands of everyday users.

As more robots, delivery drones, smart factories and driverless cars appear, current safety regulations for autonomous technologies present a grey area. Global guidelines for autonomous systems are not as stringent compared to other high-risk technologies and current standards often lack detail, meaning that new technologies that use AI and ML are potentially unsafe when they go to market.

Developed by the Assuring Autonomy International Programme (AAIP) at the University of York, this new guidance is called the Assurance of Machine Learning for use in Autonomous Systems (AMLAS). The AAIP worked with industry experts to develop the process, which systematically integrates safety assurance into the development of ML components.

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