How to use a pre-training corpus derived from incident databases for safety fine-tuning
Using a pre-training corpus derived from incident databases for safety fine-tuning is a promising, real-world-grounded approach to embedding AI failure knowledge directly into models. It draws on databases like the AI Incident Database (AIID), OECD…
