Software that mimics human society is being tested to see if it can help prevent religious violence. Researchers used artificial intelligence algorithms to simulate actions driven by sectarian divisions. Their model contains thousands of agents representing different ethnicities, races and religions. Norway and Slovakia are trialling the tech to tackle tensions that can arise when Muslim immigrants settle in historically Christian countries. The Oxford University researchers hope their system can be used to help governments respond to incidents, such as the recent London terror attacks.

However, AI may have a part to play in identifying the subtle signs that betray the kinds of human behavior that can lead to these kinds of crashes. If we look at the crash of the late 2000's it is clear that it was caused, in part, by people historically mis-selling mortgages to people who couldn't afford them. AI and deep learning make it simple to avoid these kinds of mistakes, whether somebody knew they were making a mistake or not. Similarly, when looking at stock market crashes, AI is designed to incorporate data from a wide variety of areas and formats, which means that it should be able to determine whether a stock is over or undersold and the inherent risk of its purchase fairly easily. It has the potential to somewhat stabilize the often unpredictable and unrealistic rise and fall of the stock market, even if it's through prompting behavior rather than stopping it altogether.