These visualizations are experimental and still being refined. Designs and data presentation may change.
National Security Impact
How do AI incidents impact national security, and what threat characteristics do they exhibit? Incidents are scored across five NatSec impact categories (physical security, information warfare, sovereignty, economic/tech security, societal stability) and classified along three threat dimensions (autonomy, novelty, imminence). Source data from the AI Incident Database and the MIT AI Risk Repository.
Impact Timeline
Discrimination & Toxicity
Privacy & Security
Misinformation
Malicious Actors & Misuse
Human-Computer Interaction
Socioeconomic & Environmental
AI System Safety, Failures & Limitations
Source: MIT AI Risk Repository
Key Takeaways
1.1,457 incidents have national security relevance, with 331 scoring medium or higher overall impact (score >= 3).
2.Societal Stability is the most frequently impacted NatSec category, with 181 high-impact incidents.
3.The dominant threat profile is Human-controlled autonomy, Established threat novelty, and Long-term imminence.
4.Switch between Impact and Threat views to explore severity distributions vs threat classification characteristics.
National security impact scores and threat classifications from the AI Incident Database. Incidents prior to 2015 not shown.
