Incidents that score high across multiple harm categories simultaneously represent especially damaging events. This visualization filters incidents by their summed direct severity score across all 10 harm categories, highlighting those causing significant harm in more than one dimension.
Each bar represents a year, stacked by risk domain. The chart shows incidents whose summed direct severity score across all 10 harm categories exceeds the selected threshold (moderate >10 or high >15). A high summed score indicates incidents that caused significant harm in more than one category. Toggle between count (absolute numbers) and proportion (relative share per year). Click any bar segment to view matching incidents.
Source data from the AI Incident Database and MIT AI Risk Repository. Incidents prior to 2015 not shown.