AI vs Human Connection: What schools most need to thwart threats?

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Four years ago, a sixth year student in Rigby, Idaho, fired and injured two peers and a goalkeeper in a college. The tragedy prompted school officials to reinvent what threat prevention is like in the district of around 6,500 students.

Now, the Hope teams managed by students in Rigby schools raise peers with house cards and assemblies. The voluntary fathers patrol within the framework of the dads in service. A team of district staff, advisers, social workers and probation agents are gathering to discuss and support students in difficulty. Thanks to a new mobile phone ban, students are out of screens and talk to each other. The positive results of these combined efforts have been measurable.

“We have helped to change … lives,” explains Brianna Vasquez, an elderly person from Rigby High and member of Spure Squad from his school. “I had friends who were withdrawn from the depression hole and suicidal thoughts because of (The Hope Squad).”

Why we wrote this

While more and more schools use technology to monitor students' threats, educators weigh how to balance it with human -run solutions. Part 2 of a series.

School shots like Rigby pushed American educators to try to prevent similar damage. In the United States, many districts have turned to technology – in particular digital surveillance – such as antidote. Not everyone is sold on this approach, because there can be problems, including with Confidentiality and security. Without a wide agreement on the strategies that work best, some districts try a braided approach – using a combination of technology, threat assessment teams in the field and other mental health supports.

“If you are sitting in the place of a district chief, adopting a several -part approach is probably very sensitive,” said Jennifer Depaoli, principal researcher at Learning Policy Institute, who studied school security.

“It's all about culture”

In Rigby, educators look at human interaction. Artificial intelligence and digital surveillance systems may be less likely to identify who eats lunch alone or withdraw from friends.

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