Researcher proposes auditable safeguards for AI street-camera surveillance

A Gunma University professor has designed a system to deter misuse of AI that analyzes public camera footage. The approach uses an independent Recorder to check operator declarations against rules and log decisions in a tamper-resistant ledger, while unannounced audits catch false declarations. The framework aims to make the expected cost of misuse higher than its potential benefit, though it cannot detect firewall bypasses or a captured Recorder.

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Yusaku Fujii of Gunma University proposes VRAIO for dense camera areas he calls Fully Monitored Public Spaces. Municipal AI would sit behind an outbound firewall run by an independent Recorder. Before data leaves, operators would declare cameras,