HeartQuest
Origin
The research started with a simple observation: AI systems were being deployed in roles that require empathic capacity (therapy, companionship, education, customer care) without any framework for assessing whether they could actually participate in empathic exchange, or what happened to human empathic infrastructure when they tried.
Existing approaches treated empathy as a feature to be added (sentiment analysis, emotional recognition, empathic response generation). HeartQuest treated it as a biological infrastructure question: what is empathy made of, how does it work, what damages it, and can AI systems damage it even when functioning as designed?
What it produced
The research program generated three interlocking frameworks:
Empathy Systems Theory (EST) — the domain science. Empathy as biological infrastructure with the C-A-E-I architecture (Core Authenticity, Attachment Security, Expression Freedom, Integration Coherence). Trust as the operating variable. Happiness as a monitoring signal, not a goal.
The HEART Standard — the governance architecture. Six layers: MAP-States (evidence), Behavioral Oracle (trust), BGF (scoring), HVC (credentials), Guardians (professional judgment), and Divisions (domain-specific certification).
Project SENTINEL — the field experiment. EMPI House as a longitudinal research platform demonstrating that rigorous governance and genuine creative capability coexist. Running since 2024.
Research posture
HeartQuest operates with explicit acknowledgment that its theoretical framework could be wrong. The EST foundational paper states a 5-12% probability that the core infrastructure claim is incorrect. The framework publishes its own falsification conditions. This is not a hedge. It’s the research posture that makes the work credible — frameworks that claim certainty about complex biological systems are the ones that should raise questions.