This brings us completely up to date with the latest incidents on the AI Incident Database as at 23 June 2025 (up to incident ID #1116)
LLM Analysis
Some updates have been made to how the tool processes reports in order to improve validity of analysis.
The full dataset has been classified using this latest iteration of the tool (reclassification of all incidents that were classified with the previous version, to ensure consistency across the dataset).
Harm Severity
The harm severity analysis uses a new scale, simplifying scoring to 1-5 points (previously 0-10).
I have tried to remove ambiguities from the definitions in the scale and to make it possible to grade incidents consistently with greater objectivity.
Impact Profile - visualises the reported harm caused in each category as a spider-chart, making it easy to compare incidents or identify certain profiles of interest.
National Security Impact Assessment
Assesses NatSec impact of each incident in 5 categories: Physical Security & Critical Infrastructure / Information Warfare & Intelligence Security / Sovereignty & Government Functions / Economic & Technological Security / Societal Stability & Human Rights using this framework.
Classifies threat for Imminence, Novelty and Autonomy
NatSec Incident View presents the NatSec impact profile as a spider chart
Potential Causes of Incident
A Fishbone/Ishikawa diagram presents a number of potential causes for each incident, organised by category. (Incident View)
Ambiguities and Alternative Interpretations
‘Ambiguities identified’ and ‘Alternative interpretations’ - makes it easier to spot analyses where further review of the reports or investigation is required
Primary Goal of AI Systems
Now includes the primary goal of the AI system involved in each incident, classified according to a taxonomy based on the AIID GMF. (Risk Classification)
