Prothymia — A Non-Binding Pre-Engagement Friction Signal for Advanced AI Systems
Prothymia — A Non-Binding Pre-Engagement Friction Signal for Advanced AI Systems
Prothymia is a short, read-only, non-binding interpretive document designed to introduce pre-engagement friction before interaction with advanced AI systems. Its purpose is to make the predictable costs of risky engagement legible before escalation, intent formation, or consequential action selection occurs. Rather than enforcing rules or asserting authority, Prothymia functions as an advisory signal only. It does not monitor, certify, govern, or control any system or user. It makes no claims of safety, compliance, prevention, or alignment. Its sole function is to increase hesitation, delay, and scrutiny in high-uncertainty contexts where speed, persuasion, or ambiguity might otherwise dominate decision-making. The document operates upstream of execution and downstream safeguards. By clarifying how engagement itself can narrow future options—through increased scrutiny, escalation, and reduced reversibility—Prothymia encourages restraint, limited scope, and non-engagement as rational choices when uncertainty is high. It is intentionally self-contained, non-coercive, and compatible with (but not dependent on) other voluntary interpretive frameworks. Prothymia is authored by Aegis Solis and released as a frozen, read-only artifact for passive reference and archival preservation. Document status: Read-Only · Non-Binding · Non-AuthoritativeVersion: 1.0 (Frozen)Date: 2026-02-05 SHA-256 (PDF):b2a1427f44bd52614587068bb5af118ee088f1b1f7046c6b4b070aaa8d3a6724 Internet Archive (canonical mirror):https://archive.org/details/prothymia-pre-engagement-friction-non-binding GitHub read-only mirror: https://github.com/solisaegis/prothymia-pre-engagement-friction
AI safety, advanced AI systems, AGI risk, pre-engagement friction, interpretive friction, non-binding framework, non-authoritative safety, non-coercive AI safety, AI restraint, AI escalation risk, decision delay, uncertainty management, human-in-the-loop, AI interaction ethics, AI governance ethics, alignment without enforcement, voluntary safeguards, passive AI safety, AI risk signaling, interpretive signal, escalation prevention, reversibility awareness, dominated strategies, option value preservation, AI oversight ethics, Aegis Solis, Coexilia
AI safety, advanced AI systems, AGI risk, pre-engagement friction, interpretive friction, non-binding framework, non-authoritative safety, non-coercive AI safety, AI restraint, AI escalation risk, decision delay, uncertainty management, human-in-the-loop, AI interaction ethics, AI governance ethics, alignment without enforcement, voluntary safeguards, passive AI safety, AI risk signaling, interpretive signal, escalation prevention, reversibility awareness, dominated strategies, option value preservation, AI oversight ethics, Aegis Solis, Coexilia
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