Civil Engineering team develops realistic artificial data set for road safety studies

A Mizzou Engineering team is hoping artificial intelligence (AI) can be leveraged to prevent vehicle crashes in the future. To that end, they’ve developed realistic artificial data sets (RAD) that can be used to train machines to predict the factors that cause wrecks. These data sets are now available through the U.S. Department of Transportation. The three-year $1.1M project was supported by the US DOT’s Exploratory Advance Research Program.

A pair of glasses sits in front of a computer screen.

Mizzou Engineering’s Chadha protecting your data, identity

While hacking databases is the main way for interested parties to gain users’ personal information, it’s not the only possibility. Intrepid attackers can use perfectly benign means to do so. How? By using readily available aggregate data — for example: census data, medical data focused on how many people in an area suffer from a specific illness, consumer trend data, etc. — and using it to focus on specific individuals.