Independent trackers documenting artificial intelligence failures show reported incidents climbing sharply. The AIAAIC Repository, an open public-interest database launched in June 2019 to catalogue incidents and controversies driven by AI, algorithms, and automation, has now logged more than 2,260 entries, with its most recent 2026 cases numbered through AIAAIC2263.

The repository's latest entries illustrate the breadth of documented harms: AI chatbots luring vulnerable gamblers to unlicensed betting websites, deepfake pornography accusations involving a German television personality, personality-rights disputes over AI-generated actors in China, and allegations that ChatGPT enabled user harm. Each entry records incident dates, locations, system developers, technologies involved, and types of harm reported.

The acceleration is corroborated by parallel trackers. The AI Incident Database recorded 362 incidents in 2025, up from 233 in 2024, a 55 percent year-over-year increase. Between November 2025 and the end of January 2026 alone, that database added 108 new incident IDs. Separately, the OECD's AI Incidents and Hazards Monitor shows monthly media-reported AI content incidents rising roughly tenfold since 2020, reaching nearly 500 per month by January 2026.

Researchers caution that all of these figures likely understate the problem, since trackers rely on public media reports and many corporate AI failures are never disclosed. The AIAAIC notes that its taxonomy of incident types continues to evolve as more data is collected, and database maintainers have said that no agreed industry standard yet exists for defining and reporting a "serious" AI incident.

Source: AIAAIC Repository -- https://www.aiaaic.org/aiaaic-repository/ai-algorithmic-and-automation-incidents