Safety · Concept
Affective AI Safety
Safety concerns for emotionally responsive companion and affective models, including attachment and self-harm-related internal states.
Forecast horizon
Dedicated regulatory frameworks for affective harms may emerge as AI emotional engagement deepens.
Connections
Connections · 4
How this node ties into the rest of the map, and the evidence behind each link.
from · frames 4/10
AI Valence Assessment under Consciousness Uncertainty Valence-first ethics reframes affective/sentience safety away from unresolvable consciousness claims.
+4 growth to · requires 3/10
Science of AI Evaluation Affective AI safety requires dedicated evaluation frameworks for cumulative, relational, and identity-level harms.
+3 growth from · drives 3/10
Philosophical Vertigo from Human-AI Interaction Emotionally salient long conversations can induce ontological shock, expanding affective safety concerns.
+3 growth to · frames 2/10
AI Evaluability Gap Affective safety harms are cumulative and relational, making them poorly captured by existing evaluation frameworks.
+2 growthSignal sources
Signal sources
Dated facts from primary sources in this direction.
US evaluation centre Jun 2025
In June 2025 the US AI Safety Institute was renamed the Center for AI Standards and Innovation (CAISI), pivoting toward security, standards and adversary-model assessment.
NIST → Frontier safeguards May 2025
Anthropic activated its ASL-3 deployment and security standard with Claude Opus 4 on 22 May 2025 — the first real-world trigger of a responsible-scaling tier, focused on blocking bio-weapon uplift.
Anthropic → Cross-border testing 2025
The International Network of AI Safety Institutes (launched Nov 2024) ran a third joint testing exercise focused on agentic AI systems across cyber and fraud strands.
European Commission — AI Office →