Researchers find a way to address the problem of AI forgetting how to behave safely

A person holding out their hand with a digital AI symbol.

• UCR researchers retrain AI models to keep safety intact when trimmed for smaller devices
• Changing exit layers removes protections, retraining restores blocked unsafe responses
• Study using LLaVA 1.5 showed reduced models refused dangerous prompts after training

Researchers at the University of California, Riverside are addressing the problem of weakened safety in open-source artificial intelligence models when adapted for smaller devices.