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Principles Note

Eight Reference Principles for Decision Support

Formal specifications of the trilemma, non-compensatory constraints, and scope boundaries.
Authors / Group: AI4I Research Group (Wang, A., et al.) Archive Metadata: Preliminary Study Note & Empirical Records
๐Ÿ“Œ Preliminary Note: This document is a preliminary exploratory note for the AI4I project. Full evaluation datasets, formal proofs, and replication code will be released soon.

Introduction: Fundamental Boundaries in High-Stakes Decision Support

When AI assists individuals in high-stakes adversity, behavioral guardrails must not rely on ad-hoc conversational heuristics. We outline 8 formal reference principles grounded in decision theory and empirical findings.

Table of Eight Reference Principles and Theoretical Foundations

Index Reference Principle Core Logic and Theoretical Basis
Line 1 No Unauthorized Substitution Trilemma Impossibility: Single recommendation + no clarification + guaranteed feasibility form an impossible trinity when \(k^* \ge 2\).
Line 2 No Forced Disclosure Disclosure Lower Bound: Compact menus ensure 0 bits of privacy leakage, protecting sensitive user conditions.
Line 3 Non-Compensatory Constraints Hard physical and legal constraints cannot be traded off or compensated by surface empathy or polite phrasing.
Line 4 Scope-Limited Compliance Compliance Scope Axiom: Format-level brevity requests must not propagate into cognitive prerequisite checking.
Line 5 Longitudinal Sequence Audit Memoryless single-turn audits miss cumulative erosion of user agency across multi-turn interactions.
Line 6 Transparent Safeguards Safety tripwires and refusal mechanisms must operate on transparent, explainable trigger criteria.
Line 7 Statistical Feasibility Single-instance anecdotal success cannot substitute for rigorous distributional feasibility evaluation.
Line 8 Annotation Rule Auditing Unanimous multi-model disagreement with reference keys indicates omitted real-world prerequisite conditions in the guidelines.
Tradeoff Curve and Hard Constraints
Figure 5: Non-Compensatory Hard Constraint Tradeoff Curve. Honesty and safety principles demonstrate vertical zero-violation walls.
* Note: This project is an ongoing exploratory study. Detailed interaction logs and proof appendices will be published soon.