arXiv:2602.05060v2 Announce Type: replace-cross Abstract: Cybergrooming is an evolving threat to youth, requiring proactive educational interventions. We address this by modeling dialogue progression as a structured planning problem over stage-wise interactions. We propose StagePilot, a dialogue framework that separates stage-level planning from response generation, in which the model selects the next stage under constrained transitions and generates responses conditioned on it, enabling coherent and realistic progression. Reinforcement learning is used to learn stage-level policies from offli
The increasing sophistication of generative AI necessitates new methods for dialogue simulation in complex safety-critical domains like cybergrooming education.
This research offers a novel approach to training AI models for nuanced and realistic human interaction simulation, which is crucial for developing effective safety interventions.
The ability to simulate long-horizon, stage-level dialogue progresses the utility of AI in developing proactive educational tools, particularly in sensitive areas requiring sequential and coherent interaction.
- · AI safety researchers
- · Educational technology developers
- · Youth protection organizations
- · Malicious actors relying on predictable human-like dialogue
- · Traditional, static educational intervention methods
AI models can more effectively simulate complex human communications, allowing for advanced training and analysis in various sensitive scenarios.
Improved AI-driven educational tools could lead to better preparedness in vulnerable populations against online threats.
The methodology could be extended to other domains requiring long-horizon, state-dependent dialogue, such as therapy, negotiation training, or customer service.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.CL