Artificial intelligence could be the exact solution that governments have been waiting for to combat corruption. Literary, corruption is like cancer that has somewhat proved incurable. It’s a serious topic. In fact, during electoral campaigns, you’ll hear every politician and political party promising that they will create a zero tolerant environment to corruption. But the question is, do they keep their promise? Well, it’s not always that easy but to implement such promises. Fortunately, artificial intelligence seems to now offer a lasting solution.
One thing that keeps AI apart when it comes to dealing with corruption in a system is that it will not be easy for just anybody to manipulate a trained machine to do what he or she wants. As in, for fellow humans, they might have been trustworthy before joining a company, organization or a public office but after they get in, they can change mind and decide to “siphon” -stealing a little bit here and there…
Spain Turns To Artificial Intelligence for Help in Predicting the Likelihood of Corruption
Like in any government, there are areas where corruption seems prevalent than others. Departments that handle liquid cash face more allegations of squandering, and spent money that cannot be accounted for. To make matters worse, those involved in the running of such departments have a way of covering up any trails of evidence pointing to misuse of public funds. Well, a team of researchers has come up with a new artificial intelligence system able to predict those particular portholes that leak away government resources.
It is a computer model that employs the technology of quick learning neural networks. And has been under construction at the University of Valladolid in Spain. In case it’s not yet clear to you what a neural network is, this is an AI system. It works with computer chips as memories and processors to learn how to execute assignments like humans could do. The developers say that this system can accurately tell the most vulnerable areas that corruption can pop-up as well as the exact conditions that incubate their appearance.
The System’s Analysis
After having been fed with the relevant data from different arms of government, the system confirms that when a party remains in power for a long time, corruption cases multiply. That supposedly means that the people who are obliged to serve the public begin to service themselves and also demand rewards upon offering services. Such a case is possible because the people in the offices have consolidated friendship with their colleagues that it becomes ‘a scratch my back and I’ll scratch yours’ kind of service to the public.
However, in the study which appears in the journal Social Indicators Research, the artificial intelligence system also points out that, “a greater propensity does not really say that corruption will actually happen.” The interpretation is that exaggerated price of housing, abnormal real estate tax increase and creation of new companies as well as bank branches are variables that seem to trigger public corruption.
Ivan Pastor, speaking at the University of Valladolid reiterated that whether a party rules with a majority or a minority, the more years it stays in government the more corruption increase. In fact, logically that is expected in all societies. And from a case study done on corruption cases in Spain between 2000 and 2012, the same was also prevalent.
Why Artificial Intelligence Prediction Could Help
All forms of machine learning depend on data consistency and facts. And the good thing is that in most cases, the pattern of occurrences in a government system hardly chances without a change in many other factors. For example, artificial intelligence can indicate that a certain amount of cash disappears from a government during the implementation certain projects -only. That ideally means there is a loophole in the project and everybody in the chain needs a thorough scrutiny.
The AI systems can also tabulate and give summary reports and audits related to certain offices –instantly, something that might otherwise take a lot of time under normal operations. In essence, that would mean that fewer people would want their areas of duty to be found questionable during audits thereby shunning corruption.
Researchers hope that using artificial intelligence in this approach will contribute to better focus the efforts on the areas with higher propensity -with the major goal of eliminating the vise. Of cause, if Spain manages to attain a corrupt free state it means more countries will want to adopt the model.