AION Project AI · Research Brief v1.3
Pre-Generative Positional Audit for Frame-Inherited Failures
AI Safety Researchers · Alignment Teams · AI Lab Founders · Policy Makers
Most alignment interventions operate after the human or institutional frame has already shaped the goal, metric, or prompt. The frame itself (the protected assumptions and invisible constraints from which reasoning is requested) remains unaudited. AION formalizes a pre-generative positional audit protocol for this missing layer. The Research Brief presents the theoretical grounding, the structural gap, and a formal pilot architecture.
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01
Most alignment interventions operate after the human frame is formed. None audit the position from which the goal, metric, or prompt was formulated.
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A significant proportion of AI alignment failures are frame-inheritance failures, not model failures. The model executes faithfully on a misaligned specification that was never audited.
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AION Gate: a pre-generative positional audit checkpoint that interrogates the human frame before it enters the model. A formal prototype ready for pilot testing.
Would it be useful to examine whether a pre-generative positional audit reduces frame-inherited failures in model reasoning or agentic execution?
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