Researchers conclude ShotSpotter is 'too unreliable for routine use'
T he ShotSpotter g unfire detection system sent Chicago police officers on over 40,000 'd ead-end deployments ' and is too unreliable for routine use, according to r esearchers at the MacArthur Justice Cente r. Of 46,743 ShotSpotter alerts generated July 2019-April 2021, only 5,114 resulted in officers filing a report 'likely involving a gun,' according to the study’s analysis of records obtained from city’s Office of Emergency Management and Communications. SoundThinking claims ShotSpotter is over 97 percent accurate. The study was the basis for an amicus brief filed on behalf of Chicago-based community groups that asked a Cook County judge to question whether ShotSpotter reports should be allowed as evidence in a murder case . The findings raised serious questions about the accuracy and reliability of the ShotSpotter system. The lack of accuracy, together with the system's use in predominantly Black and Brown communities, fed 'racialized patterns of overpolicing,' attorneys argued . System 🤖 ShotSpotter Documents 📃 SoundThinking. Why the MacArthur Justice Center Report is Wrong Operator: Chicago Police Department Developer: SoundThinking/ShotSpotter Country: USA Sector: Govt - police Purpose: Detect gunfire Technology: Deep learning; Neural network; Machine learning Issue: Accuracy/reliability; Bias/discrimination - race, ethnicity
- Date it happened
- 2021-05-01
- Organisation involved
- Chicago Police Department
- Product, system or model
- ShotSpotter
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