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2 stories found

A protected 911 transcript is analyzed into a behavioral-health follow-up queue while a co-responder waits beside a privacy lock and appeal pathway.
Social good & healthGeorgia, United States+3 clusters01

Georgia police pilot will scan reports and 911 transcripts for behavioral-health crises

Kennesaw State University and Technovative AI announced that Moultrie Police will pilot CaseFinder, a natural-language system designed to identify possible behavioral-health crises in police reports and 911 transcripts and prioritize cases for co-responder follow-up. The department will run it on its own hardware without a license fee during the pilot, while the university and company provide support and collect structured feedback. The tool addresses a genuine volume problem: crisis-related cases can be buried in more reports than human teams can review. Yet the announcement provides no outcome results from Moultrie. Because the system infers sensitive health needs from police data, its evaluation must include accuracy across groups, false positives, access controls, retention, contestability, voluntary care, and whether people actually receive better support without added coercion.

4 min
A redacted personal dossier shows a chatbot training switch turned off while separate memory, advertising, and connected-data files remain illuminated.
PrivacyGlobal+3 clusters02

Turning off AI training may not stop memory, profiling, or personalization

Fox News warns that chatbot privacy extends beyond whether conversations train a future model. AI assistants can remember personal details, draw context from connected services, and use interactions to shape recommendations or advertising, depending on the provider and the settings enabled. Training, memory, and personalization may be controlled separately, so disabling one feature does not necessarily disable the others. That distinction matters because people disclose health concerns, financial decisions, workplace problems, relationships, routines, and fears in a conversational setting that feels private. Over time, those fragments can form a detailed behavioral profile. The article recommends reviewing memory, training, advertising, and connected-service controls before sharing sensitive material. The larger policy problem is interface honesty. Users should not have to reverse-engineer several menus to understand what an assistant knows. Providers should present a single privacy map showing what is retained, why it is used, what other data it can reach, and how a person can delete, export, or isolate the record.

5 min