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DeepMind 新研究：让 AI 像人类一样看世界
原标题：Teaching AI to see the world more like we do
AI 摘要
Google DeepMind 在《自然》杂志发表论文，分析 AI 视觉系统与人类在视觉组织方式上的差异，并提出一种对齐方法，使模型更符合人类认知，从而提升其鲁棒性和泛化能力。研究通过“找出异类”任务发现，AI 常依赖表面特征（如背景颜色）而非高层次概念，导致判断与人类不一致。该工作是构建更直观、可信 AI 的一步。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
New research shows that reorganizing a model’s visual representations can make it more helpful, robust and reliable “Visual” artificial intelligence (AI) is everywhere. We use it to sort our photos, identify unknown flowers and steer our cars. But these powerful systems do not always “see” the world as we do, and they sometimes behave in surprising ways. For example, an AI system that can identify hundreds of car manufacturers and models might still fail to capture the commonalities between a ca
发布时间：2025-11-11 19:49
抓取时间：2026-09-07 03:43
来源机构：Google DeepMind