The AI Incident Database added 108 new incident records between the start of November 2025 and the end of January 2026, spanning incident numbers 1254 through 1361. The batch reflects a steady rise in documented cases as AI, algorithmic, and automation systems spread across more of daily life.

Impersonation for profit dominated the window. The largest and most repetitive theme among the new records was impersonation scams, especially investment opportunity schemes that borrow legitimacy from familiar faces and trusted formats. These cases use AI-generated likenesses and content to lend false credibility to fraudulent offers.

The databases tracking these events have grown alongside the technology. The AIAAIC Repository, an independent public-interest resource, began in June 2019 as a private project to study the reputational risks of artificial intelligence and has since evolved into an open initiative that collects and examines a broad range of incidents tied to AI, algorithms, and automation.

The cataloged incidents span many categories, from data breaches to algorithmic errors to content controversies. One repository entry documents a data breach that exposed information on more than 400,000 ProctorU users, illustrating the range of cases these trackers compile.

The pace of new entries underscores how incident reporting has become a field of its own. As organizations deploy AI more widely, independent databases serve as a running record of where systems fail, mislead, or expose data, giving researchers and the public a way to track patterns over time.

Source: AI Incident Database - https://incidentdatabase.ai/blog/incident-report-2025-november-december-2026-january/