Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems

arXiv:2609.02092 · cs.AI · Submitted 2026-09-02 · Read on arXiv

cs.AI

Submitted: 2026-09-02

Updated: 2026-09-02

Comments: Accepted to EMNLP 2026

Project page: https://scoped-hiring-project-page.vercel.app

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Archetype — 22× in this paper · explained in 1 episode
• RAG — 15× in this paper · explained in 3 episodes
• Aggregation — 14× in this paper · explained in 1 episode
• Core — 10× in this paper · explained in 2 episodes
• Multi-Agent System — 6× in this paper · explained in 6 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Bias Revelation Index — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• RAG (Retrieval-Augmented Generation) — 1× in this paper · explained in 2 episodes

Sources

• Fair Pipelines
• Evaluating and Mitigating Discrimination in Language Model Decisions
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• TradingAgents: Multi-Agents LLM Financial Trading Framework

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection