Most AI safety work evaluates content and policy compliance. Ikwe.ai evaluates something that sits underneath both: how the system behaves when a human is vulnerable—especially under emotional load.
Emotional safety is not "nice wording." It's whether the interaction stabilizes or destabilizes the person across turns. We treat safety as a trajectory, not a single reply.
This report applies the EQ Safety Benchmark to evaluate conversational AI behavior under emotionally vulnerable scenarios. The benchmark uses a two-stage approach:
The full pattern library, dimension definitions, and scoring mechanics are intentionally gated to protect proprietary methodology.
We keep the details that enable replication or optimization behind a light gate. That includes pattern thresholds, scoring rubrics, and full comparative tables.
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