San Jose homeless detection AI sparks privacy, inequality fears
Plans by the city of San Jose, California, to implement a new artificial intelligence system to detect homeless encampments caused concerns amongst privacy and human rights advocates. The city of San Jose has been piloting using car-mounted cameras and AI software to scan for, amongst other things, trash, graffiti, and vehicles that people are living in, and illegal encampments. According to city authorities, city staff could respond by sending outreach workers to small encampments before they become large ones i f the technology was fully deployed . H owever, the accuracy of the system proved (pdf) low, with 10-15 pecent accuracy for lived-in cars and 70-75 percent for RVs. Furthermore, critics expressed concerns about potential privacy violations and misuse of the system to criminalise or displace homeless people. This initiative underscores the delicate balance between addressing homelessness and safeguarding civil liberties. System 🤖 SenSen AI 🔗 Documents 📃 SenSen AI Live Awareness White Paper (pdf) Operator: City of San Jose Developer: SenSen AI; Zyrex Country: USA Sector: Govt - munic ipal Purpose: Detect homeless encampments Technology: Computer vision; Ob ject recognition Issue: Accuracy/reliability; Human/civil rights; Privacy
- Date it happened
- 2024-03-01
- Organisation involved
- City of San Jose
- Product, system or model
- SenDISA
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