Social Physical AI — Part 10 of 13
Where should “social intelligence” live in an AI architecture?
If the answer is “inside the model,” several problems appear immediately.
Emotion inference does not enforce permissions. Long-term memory does not automatically implement forgetting or access control. A safety filter does not maintain a relationship over months. A robot controller does not know why a human correction should change future interaction.
The LOGIHEART design view therefore treats sociality as a multi-layer system.
UNDERSTAND — represent state and conversational intent
This layer covers concepts such as emotion-responsive interaction and inference about conversational intent.
The goal is not to claim perfect mind reading. The system maintains provisional hypotheses about the person’s state and the purpose of the interaction, then updates them through confirmation and correction.
RELATE — control dialogue and relationship memory
A relationship layer needs mechanisms for confirmation, repair, storage, recall, forgetting, and permission.
This is where the architecture can distinguish “I remember this” from “I am allowed to use this here.”
GROW — adapt support from outcomes without moving safety boundaries
A social system should improve from experience.
But “learn from everything” is not an adequate safety policy.
The system needs to distinguish adaptable behavior from protected boundaries. It may learn that one explanation style works better for a person while remaining unable to learn its way around confidentiality, consent, or hard safety requirements.
EMBODY — translate social decisions into physical execution constraints
A relationship decision matters only if it can affect action.
The embodiment layer translates higher-level policy into priority, permission, stop conditions, resource allocation, and other constraints that influence physical execution.
Why the architecture is layered
Social behavior unfolds over time and across system boundaries.
The system may need to:
- observe a signal
- form a hypothesis
- consult relationship state
- choose a policy
- constrain generation or action
- execute safely
- record the response
- repair its interpretation
No single classifier, memory store, or foundation model naturally owns all of those responsibilities.
A layered architecture creates places to enforce boundaries, inspect behavior, and assign responsibility.
In the next article, we will connect those layers into a closed loop: the Sociality Loop, where observation, action, human reaction, and repair continuously update the relationship.
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Even Correct Information Can Be Unsafe in the Wrong Context: Social Control for Healthcare AI
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LOGIHEART
Toward a society where people and AI understand each other, repair mistakes, and grow together.
LOGIHEART proposes a new relationship between people and AI.
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