We are in the age of the algorithm. Artificial intelligence ideas have been emerging within engineering in recent years. Novel ideas, such as digital twins, promise to revolutionise engineering by collecting vast amounts of data and applying machine learning techniques. Computer vision will undoubtedly be the basis of much of the technology behind autonomous vehicles and is being used for monitoring systems.
However, the use of these techniques in different fields has not been without problems. For instance, the use of big data within the criminal justice system has been beset by racial bias and accuracy problems. Facial recognition technology is unreliable, able to be manipulated and again has racial bias problems, yet is increasingly being used by police forces.
In this talk we will discuss the potential pitfalls that can occur with the increased use of algorithms in engineering and discuss how uncertainty can play a key role in mitigating some of these issues.