AI Index Report 2026 发布
Artificial Intelligence Index Report 2026
第九版 AI 指数报告新增多项追踪维度:AI 在推理、安全及真实任务执行上的测试范围扩大,但测量手段的可靠性正在下降;首次提供生成式 AI 的经济价值估计及其劳动力市场影响的初步证据;提出 AI 主权分析框架;与 Schmidt Sciences 合作新增科学章节,并首次设立 AI 在科学与医学中的独立章节,反映 AI 在这两个领域日益增长的影响力。
斯坦福这份年度报告是 AI 行业最全面的体检单,今年首次把科学和医学独立成章,说明 AI 正从实验性工具变成基础设施,治理和评估跟不上进度的矛盾贯穿始终。
Welcome to the ninth edition of the AI Index report. As AI continues to advance rapidly, the question becomes whether the systems built around it can keep up. Governance frameworks, evaluation methods, education systems, and the data infrastructure needed to track AI's impact are struggling to match the pace of the technology itself. That gap between what AI can do and how prepared we are to manage it runs through every chapter of this year's report. New in this edition, the report tracks how AI is being tested more ambitiously across reasoning, safety, and real-world task execution, and why those measurements are increasingly difficult to rely on. It also features new estimates of generative AI's economic value alongside emerging evidence of its labor market effects, an analytical framework on AI sovereignty, and a science chapter developed in collaboration with Schmidt Sciences. For the first time, the report features standalone chapters on AI in science and AI in medicine, reflecting AI's growing impact across these two domains.
来源:HuggingFace Daily Papers(社区热门论文) · arxiv.org