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Trust in Artificial Intelligence

Trust in Artificial Intelligence

Rethink your approach to the risks and controls relating to Artificial Intelligence using our new framework.

Nathan Cain

Partner, Corporates and Head of UK Technology Risk

KPMG in the UK


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Many businesses are currently developing and operationalising Robotic Process Automation (RPA) solutions and are beginning to experiment with true Artificial Intelligence (AI). These are systems that can both interpret natural language and also learn to find the right answers without them having been programmed.

In their ‘Hype Cycle for Emerging Technologies in 2017’ Gartner have identified that AI, as a transparently immersive experience and digital platform, is a trend that will enable businesses to survive and thrive in the digital economy over the next 5 to 10 years.

This degree of innovation comes, however, with a heightened level of risk. Whilst traditional risk and control frameworks and IT process models can still help, we believe that there are new risks and different ways to control some of the existing risks as laid out in our new Risk and Controls framework specific to AI. Businesses urgently need to recognise this new risk profile and rethink their approach to the risks and controls relating to this technology in a structured way.

Our paper, Trust in Artificial Intelligence, examines the unique, practical risks facing AI and the organisations implementing this technology whilst the risk and control framework details a holistic approach to manageing the risks around the use of AI. 

Download our 'Trust in Artificial Intelligence' paper here.

Download our AI Risk and Controls matrix here. 

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