Analyze AI/LLM applications for biometric, PII, and surveillance privacy violations.
npx skills add https://github.com/micposso/responsible-ai-skills --skill privacy-micposso
Please help me install this Agent Skill. Skill: privacy Source: https://github.com/micposso/responsible-ai-skills/tree/main/privacy Command: npx skills add https://github.com/micposso/responsible-ai-skills --skill privacy-micposso
This Skill helps identify privacy violations and ensure data protection compliance in AI applications, safeguarding user rights and avoiding legal risks.
Review the code for potential privacy violations and receive actionable compliance guidance immediately.
High-intent search queries and answers about installing and using this skill.
To detect privacy violations in AI applications, analyze the codebase for biometric data misuse, PII collection, and surveillance risks, then review user consent mechanisms to ensure regulatory compliance.
AI systems collecting personal identifiable information must align with GDPR, CCPA, BIPA, and the EU AI Act regulations, which govern data protection, biometric data usage, and user consent requirements.
To ensure lawful consent for facial recognition in LLM apps, analyze the code to verify transparency measures, appropriate data retention policies, and explicit user consent protocols are implemented correctly.
Yes, you can use automated compliance analysis to scan AI code for PII mishandling, detect surveillance risks, and receive actionable remediation steps aligned with data protection regulations.
Common surveillance risks in AI applications include unauthorized biometric data collection, inadequate user consent for PII processing, and lack of transparency in data retention, violating privacy regulations.
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