Rethink your approach to the risks and controls relating to Artificial Intelligence using our new framework.
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. 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.
This paper, Trust in Artificial Intelligence, examines the unique, practical risks facing AI and the organisations implementing this technology.