Safety · Concept
Rules vs Character Scaling Laws for AI Safety Design
Comparative-statics model allocating safety resources between training-time character shaping and inference-time rules as deployment scale grows.
Forecast horizon
Optimal mix shifts weakly toward character shaping at larger deployment scales under several scenarios.
Connections
Connections · 2
How this node ties into the rest of the map, and the evidence behind each link.
to · frames 3/10
Agent Safety as Runtime Contract Scaling-laws model treats rule enforcement filters as the inference-time complement to training-time character shaping.
+3 growth from · constrains 3/10
Language-Specific Gaps in Multilingual AI Safety Datasets Per-language safety data holes limit both character-shaping and rule-filter effectiveness for non-English users.
+3 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 →