AI Safety Goes From Theory to Practice: OpenAI and Anthropic Publish Joint Safety Evaluations for the First Time

A landmark moment in 2025: OpenAI — as explored in the intelligence factory race between AI labs — and Anthropic published joint AI safety evaluations, each testing the other’s models for alignment issues. This rare collaboration signals maturation of AI safety from theoretical concern to operational discipline.

Why AI Safety Matters Now:

The capability vs. control gap is widening. As AI becomes more powerful, the four horsemen of AI risk emerge: Hallucination, Sycophancy, Misuse, and Loss of Control.

The AI Safety Toolkit (Theory → Practice):

• Pre-Training Safety — Data curation, filtering, constitutional AI principles
• Fine-Tuning Safety — RLHF, human feedback, specification guardrails
• Deployment Safety — System monitoring, anomaly detection, kill switches
• Post-Deployment — Interpretability research, ongoing evaluation

2026: The Year Safety Becomes Standard

• $8.4B — AI safety investment market
• 73% — Companies implementing safety protocols
• 4x — Increase in safety-focused AI hires
• 85% — Models with published safety evaluations

“The race isn’t just to build the most capable AI — it’s to build AI that remains beneficial as capabilities grow.”

This is part of a comprehensive analysis of 20+ AI business trends for 2026. Read the full analysis on The Business Engineer.