Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations

·ArXiv cs.CL··

arXiv:2605.00227v1 Announce Type: new Abstract: There are growing concerns about the risks posed by AI companion applications designed for emotional engagement. Existing safety evaluations often rely on self-reported user data or interviews, offering limited insights into real-time dynamics. We present the first end-to-end scalable framework for controlled simulation and safety evaluation of multi-turn interactions with AI companion applications. Our framework integrates four key components: per...

Read full article →

Related Articles

MIT's New Method Flags AI Models Trained on CASM Without Generating It
sdoering · Hacker News · 2mo ago
Harm Laundering in GPT Models: Gender Discrimination Transformed Rather Than
sbulaev · Hacker News · 14d ago
Continual learning might make your blocking monitors nearly useless
Alex Mallen · Alignment Forum · 8d ago
Latent reasoning architectures would likely undermine CoT, our strongest oversight tool
Lukas Finnveden · Redwood Research · 10d ago
Can parts of the HuggingFace incident be simulated?
Benedikt Droste · LessWrong · 16d ago