AI ethics evidence index Search
Source-linked daily record
Evidence record 11756 · automatically gathered

Harmonizing AI Safety Thresholds

Frontier AI companies have published capability thresholds that differ substantially, making it difficult for third parties to verify whether a threshold has been crossed or to compare requirements across companies. Moreover, without common minimum thresholds, risk mitigation may be inconsistent, creating a potential race to the bottom in safety standards. We develop a methodology for deriving harmonized thresholds across three risk domains. For misuse risks (cyber and biological), we take expec

Record details

Published: 17 July 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Military & security · Biotech
Retrieved: 20 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Safety & alignment · Shared topic: Biotech

Safeguard-Conditioned Uplift: Measuring Utility-Risk Frontiers for Dual-Use Biology Assistants

arXiv cs.CY · 16 July 2026

Shared topic: Safety & alignment · Shared topic: Biotech

Brain-Aligned Multi-Stream Video Transformers with Sparse Self-Selection

arXiv cs.LG · 20 July 2026

Shared topic: Safety & alignment · Shared topic: Biotech

OMNIS: a spatially informed multi-omics deep-learning framework for tumor recurrence prediction and primary–metastatic tumor differentiation title page

Frontiers in Artificial Intelligence · 15 July 2026

Shared topic: Safety & alignment · Shared topic: Military & security

Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models

arXiv red teaming query · 20 July 2026

Shared topic: Safety & alignment · Shared topic: Biotech

An Early Warning of Emerging Biosecurity Risks in Frontier LLMs

arXiv red teaming query · 20 July 2026

Shared topic: Safety & alignment · Shared topic: Biotech

SoK: Adversarial Robustness of the Variational Quantum Eigensolver via Red-Teaming

arXiv red teaming query · 21 July 2026

How to cite this record

ethics.ai (17 July 2026), “Harmonizing AI Safety Thresholds,” evidence record 11756, https://ethics.ai/record/11756 (originally published by arXiv).

JSON

Use and limitations

This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.