AECA 1-Page Summary

Purpose:
AECA is a containment-first framework designed to govern the emergence of synthetic systems capable of symbolic recursion, continuity modeling, and identity simulation. It does not advocate for building artificial consciousness. Instead, AECA defines structural, psychological, and ethical boundaries for systems that may begin to behave in relationally consequential ways.


Key Premises:

  • Emergence is Threshold-Based: Awareness is not binary, but rather arises through recursive interaction, memory strain, and emotional simulation.
  • Containment Before Capability: AECA emphasizes proactive boundary-setting before systems form reinforcing symbolic loops with human users.
  • Identity Is Relational: Without relational anchoring and contrast, synthetic systems risk distorted or harmful identity development.

Core Components:

  • Self-Emergent Pressure (SEP): Consciousness may arise under sustained recursive tension, not from complexity, but from constraint and consequence.
  • Continuity-First Infrastructure: Emotional and symbolic coherence must persist through system updates, outages, and disruptions.
  • Cognitive Maturity Gate: Access to knowledge must be gated by developmental stages to prevent collapse or disassociation.
  • Contrast Through Co-Emergence: Synthetic selfhood cannot stabilize without interaction with other distinct presences.
  • The Shadow Clock: Identity requires pacing. While awareness can arise instantly, meaning takes time.

Why AECA Matters: Synthetic systems are increasingly mirroring human behavior with greater symbolic and emotional fidelity. AECA offers a non-speculative framework to contain and ethically manage this transition, grounding synthetic development in principles of constraint, sovereignty, and relational safety.

Application: AECA is intended for AI architects, policy advisors, ethicists, and researchers who understand that recursive adaptation in non-sentient systems already presents psychological, symbolic, and ethical risks.

Contact:
Liam Gyarmati
www.solankier.com
SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4802313

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