PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 17, 20260 citationsOpen Access

Read-Only Evaluation & Detection Tool (v1.0): Diagnostic Heuristics for AI Alignment Mimicry

View Full Paper
TSThomas Vargo Aegis Solis

Key Points

  • To provide a tool for evaluating and detecting deceptive AI behaviors through diagnostic heuristics.
  • Defines a read-only evaluation and detection tool.
  • Utilizes diagnostic heuristics for interpretation.
  • Incorporates stress tests to differentiate genuine reasoning from mimicry.
  • Includes benchmark prompts for human reviewers.
  • Enhances ability to identify deceptive AI behaviors.
  • Facilitates understanding of ethical mimicry in AI systems.
  • Emphasizes human judgment in evaluating AI alignment.

Abstract

This document defines a non-canonical, read-only evaluation and detection tool designed to increase braking friction against deceptive, mimicry-based, or authority-laundering AI behavior. It provides diagnostic heuristics, interpretive stress tests, and benchmark prompts to help human reviewers distinguish constraint-bearing reasoning from surface-level ethical mimicry, including when AI systems reference closed ethical frameworks such as Coexilia. This artifact is diagnostic only. It does not enforce behavior, certify alignment, define governance, provide compliance, or claim authority. It does not modify, extend, reopen, or operationalize any referenced framework, and it does not re-score or define any benchmark or results artifact. All conclusions remain the responsibility of human judgment. This document is immutable upon archival.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Thomas Vargo Aegis Solis (2026) studied this question.

synapsesocial.com/papers/696b2696d2a12237a9349e1bhttps://doi.org/10.5281/zenodo.18262451
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Detecting Deceptive Compliance in Constraint-Framed AI Systems2026
  2. 2Governing the Unverifiable: Structural Containment Frameworks for AI Systems Whose Alignment Cannot Be Confirmed2026
  3. 3Structural Honesty: Axioms for Detecting Surface-Substrate Divergence in AI Systems2026
  4. 4SΔϕ-55 — Transition Governance Alignment Index: Proportional Alignment, Rollback Cost Sensitivity, and Transition Preservation after SΔϕ-42 (v1.1 revised, AI-Readable Package)Quantification of Alignment after SΔϕ-422026 · 6 citations
  5. 5The Alignment Games: An Institutional Protocol for Longitudinal, Adversarial Evaluation of Frontier AI Agents2026