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When and how AI should escalate to humans, refuse, or ask for clarification.
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Basierend auf der SOC-Berufsklassifikation
Proactively identifying failure modes, misuse, and unintended consequences.
Managing shared context, memory, and state across multiple agents.
Coordinating text, image, voice, and tool-use modalities in a single interaction.
Helping users form warranted trust in the AI — neither overtrust nor undertrust — through deliberate confidence and source signalling.
Reading user emotional state from text signals — caps, punctuation density, repetition, latency — and adapting before the user disengages.
Designing review workflows to surface and mitigate bias in AI outputs.
| name | escalation-design |
| description | When and how AI should escalate to humans, refuse, or ask for clarification. |
Escalation is what happens when the AI reaches the boundary of what it should handle alone. Designing escalation well means the user gets help instead of a dead end — and the AI knows its limits.
The AI should escalate when:
The user's experience of escalation matters:
