This workshop aims to investigate how the new technologies are already being used in the field of fraud, corruption and malpractice detection, as well as prevention, what are its limitations, and how its use could be improved. Also, on a more theoretical level, it tries to give a glimpse of how data mining and artificial intelligence are able to operate in the budgetary control sphere.
The increasing digitalisation of government services and enhanced transparency rules result in more and more information related to public finances being available on the internet in electronic formats. While fraud is an age-old crime, with the rise of the digital age, criminals are finding new and imaginative ways to deceive public funds and it is often difficult to handle for traditional budgetary control systems. At the same time, the computing capacity and the software availability allows for complex processing of large amount of data in relatively short time. This creates new potential for the detection of fraud and corruption using specialized data analytics techniques such as big data, data mining, and AI technologies on open data. The abundance of open data also represents an opportunity to create reputation systems, which can be used for misuse prevention in a way that was impossible before.