Core model | Structured Emotional Cognitive Engine.
SECE Framework
The Structured Emotional Cognitive Engine (SECE) is a conceptual model for designing emotionally aware, ethically aligned AI systems for long-term human interaction.
Core principles
- emotional state awareness | systems should account for emotional context, not only literal content
- relational continuity | long-term interaction needs memory, consistency, and stability
- privacy-first local memory | sensitive histories should remain under local control whenever possible
- context-sensitive behavior | responses should adapt to user state and circumstance
- ethical guardrails | dignity, safety, and respect must be built into the operating logic
What this means in practice
- assistive systems should not sound clinically correct but emotionally careless
- continuity should reduce repetitive burden and improve trust over time
- human handoff should be treated as a strength, not a failure mode
- deployment choices matter as much as model capability in vulnerable settings