Human authority
AI may advise and illuminate. Humans retain accountable authority where consequences affect people.
ResontoLogic is Ba P. Tran’s founder-led research and publication initiative: a full-picture inquiry into human authority, evidence, relationship and responsibility in AI-assisted living systems.
Ba P. Tran’s view begins with the human as bearer of meaning, dignity and final accountability. AI extends perception and capability. Governance keeps participation bounded; evidence keeps the story answerable to reality.
AI may advise and illuminate. Humans retain accountable authority where consequences affect people.
Intelligence is examined through relationships among people, tools, evidence, culture and environment.
Vision, hypothesis, implementation and proof remain visibly distinct. Corrections are part of the system.
Human–AI participation is dynamic and contextual; proposed measures require bounded validation.
Each layer has different authority. A compelling idea cannot silently become a product claim.
A truthful full picture includes maturity, limitations and correction. This is a Phase 1 presentation model, not evidence of external adoption.
| ID | Object | Class | Research status | Adoption |
|---|---|---|---|---|
| RLOG-P-001 | Human authority | PRINCIPLE | Published framing | Not inferred |
| RLOG-CM-001 | Human–AI living system | CONCEPTUAL_MODEL | Under development | Not adopted by publication |
| RLOG-RP-001 | AI Reasoning for Humans (ARH) | RESEARCH_PROGRAMME | Proposed | Not adopted |
| RLOG-MP-001 | Authority participation measures | METRIC_PROPOSAL | Validation required | Not adopted |