Incident Tracker - June 2025 Update
A structured, updated AI incident database with national security and harm severity frameworks offers APS risk and governance teams a ready reference for evidence-based risk assessment.
Key points
- MIT AI Risk Repository's incident tracker updated to June 2025, now covering 1,116 AI incidents.
- New national security impact assessment framework scores incidents across five categories including sovereignty and critical infrastructure.
- Harm severity rescaled to 1-5 for consistency; fishbone diagrams added to surface potential causal factors per incident.
Summary
The MIT AI Risk Repository has released a June 2025 update to its AI incident tracker, now synchronised with the AI Incident Database through incident #1116. Key enhancements include a simplified 1-5 harm severity scale, a national security impact assessment covering physical security, information warfare, sovereignty, economic security, and societal stability, and Ishikawa diagrams to surface potential causal factors. Spider-chart visualisations allow comparative profiling of incidents. The update also adds AI system goal classification aligned to a recognised taxonomy.
Implications for Australian agencies
- Consider Risk and assurance teams could consider referencing the updated harm severity scale and national security assessment framework when developing or reviewing agency AI risk taxonomies.
- Monitor APS practitioners tracking AI incidents for policy or governance purposes may want to monitor this tracker as a structured, regularly updated evidence base.
Implications are AI-generated. Starting points, not advice.
"Incident Tracker - June 2025 Update" Source: MIT AI Risk Repository – Blog Published: 18 July 2025 URL: https://airisk.mit.edu/blog/incident-tracker---june-2025-update The MIT AI Risk Repository has released a June 2025 update to its AI incident tracker, now synchronised with the AI Incident Database through incident #1116. Key enhancements include a simplified 1-5 harm severity scale, a national security impact assessment covering physical security, information warfare, sovereignty, economic security, and societal stability, and Ishikawa diagrams to surface potential causal factors. Spider-chart visualisations allow comparative profiling of incidents. The update also adds AI system goal classification aligned to a recognised taxonomy. Implications for Australian agencies: - [Consider] Risk and assurance teams could consider referencing the updated harm severity scale and national security assessment framework when developing or reviewing agency AI risk taxonomies. - [Monitor] APS practitioners tracking AI incidents for policy or governance purposes may want to monitor this tracker as a structured, regularly updated evidence base. Retrieved from SIMS, 18 May 2026.