ChatPaper.aiChatPaper

2026年人工智能指数报告

Artificial Intelligence Index Report 2026

April 14, 2026
作者: Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld
cs.AI

摘要

欢迎阅读《AI指数报告》第九版。随着人工智能持续快速发展,围绕其构建的系统能否跟上步伐成为核心问题。治理框架、评估方法、教育体系以及追踪AI影响所需的数据基础设施,都难以匹配技术本身的发展速度。AI的能力与人类应对准备之间的鸿沟,贯穿今年报告的每一章节。本版新增内容包括:追踪AI在推理、安全性和真实世界任务执行方面接受更具挑战性测试的现状,以及这些评估指标为何越来越难以依赖。报告还首次呈现了对生成式AI经济价值的最新估算及其对劳动力市场的初步影响证据,提出AI主权的分析框架,并与施密特科学合作开发了科学专题章节。作为创举,本报告首次设立"AI与科学"和"AI与医学"独立章节,反映AI在这两个领域日益增长的影响力。
English
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.