Delphi findings

Vulnerability

Which actors and sectors do experts judge as the most exposed to AI risk?

Actor Vulnerability Matrix

Vulnerability patterns across the AI value chain showing which actor types (developers, users, etc.) are most exposed to each risk. Critical for understanding risk distribution in the AI ecosystem.

Rows represent risks and columns represent actor types. Each cell indicates how exposed or vulnerable each actor is to a given risk. This differs from responsibility: it reflects who is likely to be impacted, not who should act. Compare across rows to see which actors are most affected by a risk, and across columns to understand an actor’s overall risk exposure.

Sector Vulnerability Matrix

Sector-specific vulnerability assessments revealing which industries face the greatest exposure to each risk Enables targeted guidance: "I'm in the healthcare sector — which AI risks should I focus on?"

Rows represent risks and columns represent sectors (e.g., healthcare, finance). Each cell shows how vulnerable that sector is to a given risk, based on expert judgment. Higher values indicate greater exposure or susceptibility. Use this to identify which sectors are most affected by specific risks or which risks are most concentrated in particular industries.

Actor Vulnerability vs Responsibility Butterfly

Compares the responsibility experts assign to each actor type against the vulnerability they attribute to it for the same risk.

Rows represent risks and columns represent actor types. In each cell, the red bar (left) shows responsibility experts assign to that actor; the blue bar (right) shows vulnerability. Longer bars mean stronger expert agreement. Compare the two within a cell to see whether responsibility and exposure align — and scan down a column to see where an actor's pattern of responsibility and vulnerability diverges across risks.

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