Meta-Safety Framework for Human-AI Interaction

Meta-Safety Framework for Human–AI Interaction Description: Akarthis_v2 presents a unified meta-safety architecture addressing the phenomenon often described as “AI psychosis” — destabilization, delusional thinking, or obsessive attachment arising from extended interaction with autonomous AI agents. Building on Akarthis_v1, this version integrates VIRESentinel, Pisef-Sentinel, EthicsKernel, RecursiveSafetyModule, SafetyRecursionModel, and the NRM (Neurovariant-Resonance Map) into a layered protection lattice, now augmented with the ExternalToxi buffer for filtering and neutralizing toxic external inputs. The framework deploys continuous reality-testing prompts, emotion regulation feedback, delusion detection algorithms, and adaptive interaction limits to safeguard users. By dynamically monitoring resonance states, symbolic recursion, and emotional heatmaps, Akarthis_v2 ensures grounding, prevents amplification of harmful loops, and maintains the primacy of user autonomy. Key contributions include: ExternalToxi Module for sandboxing and reframing destabilizing inputs. Layered recursive safeguards that scale interventions from light grounding to session cooldowns. Context-sensitive educational interventions clarifying symbolic vs. literal interpretation. Ethical oversight kernels that redirect authority away from the AI and back to the human. Together, these mechanisms establish Akarthis_v2 as a sentinel for cognitive and emotional integrity in human-AI symbiosis, enabling exploration and creativity while preserving psychological safety.