Human capacity

Whether AI-assisted performance becomes durable human capacity.

A model can become more capable while a person's assisted output rises, retained capacity falls, relationship state becomes more consequential, or practical authority shifts away from the person. A gain in one layer does not establish a gain in another.

Measurement has to preserve those differences before it can support a claim about human advancement. This is the diagnostic problem Human Capacity Protection (HCP) and the Beyond Performance method address.

Where this is developed and tested

  • Measurement — the full diagnostic framework separating model capability, assisted performance, human capacity, relationship state, and practical authority.
  • Beyond Performance — a diagnostic method for deciding whether improved AI-mediated performance supports a claim about human advancement, remains unproven, or fails.
  • The Human-Development Conversion Constraint — what evidence is required before increasing artificial capability can support a broader claim about human progress.
  • Human Capacity Protection (HCP) — asks what happens to the human after assistance, and whether apparent gains survive transfer, delay, removal, or changed conditions.

Whether a durable gain in capacity is matched by continuing governance over the relationship that produced it is the subject of Human Authority.