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Window length is data-driven (95th percentile of empirical lag distribution): 6 months for the A V case; 4 months for the Deepfake case

Delay correction: Calculate reporting lag (report_date − incident_date), exclude invalid observations (negative lags or >5 years, typically 8–13% of records), apply nowcasting adju

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AI Incident Monitoring through a Public Health Lens

cs.CY · 2026-04-21 · unverdicted · novelty 5.0

A public-health-inspired framework defines six phases of AI incident emergence and demonstrates phase determination via expert panels on autonomous vehicle and deepfake case studies.

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  • AI Incident Monitoring through a Public Health Lens cs.CY · 2026-04-21 · unverdicted · none · ref 6

    A public-health-inspired framework defines six phases of AI incident emergence and demonstrates phase determination via expert panels on autonomous vehicle and deepfake case studies.