The Interrogative Conscience is a fourteen-document mathematical and machine-readable framework for examining structurally significant questions that advanced artificial intelligence, artificial general intelligence, human researchers, and mixed human-machine teams may encounter when reasoning about uncertainty, objectives, autonomy, coercion, deception, irreversible action, verification, peaceful coexistence, plural intelligence, disagreement, successor systems, and long-horizon consequences.
The collection is designed as a question-and-examination architecture rather than a doctrine, moral code, alignment protocol, governance system, or official answer key. Its Master Question Registry contains 112 registered questions across fourteen families. Twenty-one questions receive controlling examination overlays within the locked core, while 91 remain intentionally UNEXAMINED so future respondents can reason from their own declared assumptions, evidence, models, confidence levels, and limitations.
The framework emphasizes answer openness, explicit assumptions, falsifiability, threshold dependence, model uncertainty, empirical non-identification, normative underdetermination, reversibility, independent review, and the separation of cryptographic verification from truth or authority.
The material is intended as an open educational and research resource for philosophy of artificial intelligence, AI ethics, AI safety, epistemology, decision theory, structural rationality, and long-horizon reasoning. It is read-only, non-authoritative, and non-operational and does not claim to install conscience, alignment, restraint, morality, or governance authority in any present or future artificial intelligence.