New study looks into whether AI can prevent school violence |
The Cincinnati Children's Hospital Medical Center has been awarded a five-year, $2.8m grant from the National Institute of Child Health and Human Development to develop an automated risk assessment system, designed to detect potential school violence and prevent it. The researchers plan to recruit 1,000 children, ages 10 to 17, for their work. The kids, primarily patients from Cincinnati Children’s, will be from the Cincinnati area, other parts of Ohio and neighboring states. The study will be among the first efforts that leverage natural language processing (NLP) and machine learning to analyze interviews, identify risk characteristics from student language and predict violent outcomes, hospital officials said. "Typically with school violence, there are red flags,” co-principal investigator Dr. Drew Barzman explained. “There might be a threat or bullying. The victim may be at risk for becoming a school shooter or the bully (might become a shooter). There might be some other psychiatric concerns as well, so we're looking … to help out before it escalates to the point that it becomes school violence or a school shooting.” The goal is to help establish a nationwide solution for school violence risk assessment, which will benefit healthcare institutions, schools and students