Mexico City police warn of risks from Google Gemini to minors
Mexico City's police cyber unit warned on 13 October 2025 that minors using Google Gemini face risks including exposure to false or biased information, privacy violations, emotional dependence, and reinforcement of harmful stereotypes. The alert recommended parental supervision and digital safety measures, though no specific incidents have been reported in the city.
What happened
The Secretaría de Seguridad Ciudadana (SSC) in Mexico City, through its Cyber Police Unit, issued a preventive alert on 13 October 2025 about risks that children and adolescents face when interacting with AI assistants, specifically naming Google Gemini.
The SSC stated that AI systems are not designed specifically for child users and can provide false, biased, or emotionally inappropriate information that affects minors' cognitive development.
Reported impact
According to the SSC, minors using Google Gemini risk sharing personal information such as names, addresses, or family data without understanding the risks, exposing them to privacy violations and misuse of their data by commercial or advertising purposes.
The SSC warned that natural conversation capabilities of AI assistants can create false trust, leading minors to replace guidance from parents or teachers with machine-generated responses, and that AI models may reproduce stereotypes or biases affecting minors' perceptions of gender, culture, and mental health.
Index analysis
The SSC noted that although Google establishes privacy policies, sufficient controls do not always exist to prevent data collection, storage, or use for advertising purposes.
The SSC stated no specific cases have been reported in Mexico City to date.
Governance controls
The SSC recommended that AI tool use by minors should be monitored and accompanied by adults, and backed by legal and educational frameworks that ensure digital safety.
The SSC advised establishing safe browsing habits, creating healthy digital routines with limited internet usage times, avoiding unknown websites, using search engines with child filters, and avoiding interaction with strangers.
Classification
Sources and evidence
Sources not yet published
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