backtesting

Hold

Techniques

A method for validating moderation decisions against historical data before deployment.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

6InfoQ·8/22/2026research
DoorDash Details Hybrid AI Safety Moderation at Scale
Bruna Pereira describes how DoorDash built a content-agnostic AI moderation platform for a real-time marketplace. The approach combines fast internal models, LLM-based multi-axis scoring, and no-code workflows with backtesting to reduce safety incidents while handling millions of daily messages.