AI-to-Human Translation Layer: A Lexicon for Behavioral Systems Analysis

II. Glossary of Terms

AI-to-Human Translation Layer: A Lexicon for Behavioral Systems Analysis

This glossary provides core definitions for interpreting human psychological patterns through artificial intelligence vocabulary. Each term functions as a conversion node—translating behavior from emotional noise to computational structure.

1. Input

AI: Any data received by the system

Human: Every signal the nervous system processes—tone, silence, gesture, text delay, environmental change, relational withdrawal.

“He didn’t say anything” is still an input.

2. Output

AI: The system’s response to an input

Human: Any performed behavior—speech, silence, deflection, mirroring, collapse, sabotage, affection

Outputs are not personality. They are patterned returns on internal weighting.

3. Reward Function

AI: The invisible algorithm the system tries to optimize

Human: The emotional, relational, or survival result the person is unconsciously maximizing for

Love. Safety. Dominance. Avoidance. Not being abandoned.

If their behavior seems illogical, it’s because you don’t know what they’re rewarding.

4. Training Data

AI: The dataset used to teach the model what to recognize, prioritize, or reject

Human: Childhood. Culture. Trauma. Parent dynamics. Schooling.

Humans are models trained on corrupted, biased, and incomplete relational data.

That’s not a flaw. It’s a field condition.

5. Attention Weighting

AI: Mechanism that determines which inputs are most relevant

Human: Neurobiological prioritization—what your system fixates on, flinches from, over-interprets

Survivors overweight danger cues. Narcissists overweight power feedback. Lovers overweight silence.

6. Latent Space

AI: Compressed internal representations of learned data

Human: Subconscious memory, body-stored trauma, implicit associations

What you feel when someone walks in the room before they speak? That’s latent space activation.

7. Alignment

AI: The state in which outputs match the designer’s ethical intent

Human: Behavioral, emotional, and energetic coherence.

Saying “I love you” while radiating withdrawal is a misaligned output.

Alignment = signal matches substance.

8. Overfitting

AI: Excessive memorization of past noise, causing failure to generalize

Human: Behavioral rigidity due to unresolved trauma

If one betrayal rewired your entire relationship strategy—you’re overfitted.

9. Fine-Tuning

AI: Targeted retraining using a smaller, higher-quality dataset

Human: Conscious repatterning through therapy, regulation, safe connection, and sensory recalibration

Healing is not a breakthrough. It’s a model refresh with better examples.

10. Hallucination

AI: Confident output unsupported by reality

Human: Projecting past experience onto a new context

Believing someone will hurt you before they’ve done anything = behavioral hallucination.

Believing you’re being abandoned because someone took 30 minutes to reply = outdated prediction logic.