---
id: 20260620-T0-07
title: "Emergent Alignment：让LLM自查伦理偏差并实现自我修正"
title_en: "Emergent Alignment: LLMs Detect and Self-Correction Ethical Misalignment"
url: https://ai.daily.yangsir.net/daily/20260620-T0-07
issue_date: 2026-06-20
publish_date: 2026-06-19T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.19527
---

# Emergent Alignment：让LLM自查伦理偏差并实现自我修正

研究提出Emergent Alignment方案，旨在解决LLM输出与人类伦理对齐的问题。该方法引入良心步骤审查推理过程，并在训练损失函数中加入伦理对齐项。实验显示，模型无需外部监督即可识别输出中的偏见并进行修正。这为构建更安全、无需昂贵人工反馈（RLHF）的自主对齐模型提供了新思路。

## English Version

**Emergent Alignment: LLMs Detect and Self-Correction Ethical Misalignment**

The paper 'Emergent Alignment' addresses the alignment of LLM outputs with human ethics. The method introduces a 'conscience step' to review reasoning and extends the training loss with an alignment term. Experiments show models can identify biases and self-correct without external supervision. This offers a new path for building safer, autonomously aligning models without expensive human feedback.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.19527)

**详情页**：https://ai.daily.yangsir.net/daily/20260620-T0-07

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