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Human at the Origin examines how human purposes, corrections and refusals can remain consequential as AI assistance develops over time. The paper distinguishes formal authority, the entitlement to authorize or refuse, from effective agency, the practical capacity to exercise those choices meaningfully. Radical Agency describes an ongoing practice of shaping purposes, examining influence and revising delegation. A targeted narrative synthesis of educational, workplace, clinical and engineering research shows why assisted performance, retained learning and human judgment require separate consideration. Benefits vary with the task and design of assistance; other findings identify biased judgment, poorer subsequent independent performance, or costs from additional scaffolding. The developmental aim is for people to become more capable of becoming more capable, with worthwhile continuing support available where it serves their purposes. A reciprocal hypothesis is that developing human agency can also improve AI's useful contribution. The discussion connects these propositions to creative and relational experience, consent, shared responsibilities and the distribution of benefits. It presents a proposed Human-AI Bill of Rights and an evaluation agenda addressing consequential choice, learning, burden and access. The framework remains a conceptual contribution whose proposed benefits require empirical investigation.
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Grant H. Brenner (2026) studied this question.
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