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首页Artificial Intelligence Index 2018 Annual Report
Artificial Intelligence Index 2018 Annual Report
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更新于2023-05-27
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A new report from experts at MIT, Stanford University, OpenAI, and other institutions seeks to bring some clarity to the debate — clarity, and a ton of graphs. It goes on to make two main points: first, that the field of AI is more active than ever before, with minds and money pouring in at an incredible rate; and second, that although AI has overtaken humanity when it comes to performing a few very specific tasks, it’s still extremely limited in terms of general intelligence.
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Steering Committee
Yoav Shoham (Chair)
Stanford University
Raymond Perrault
SRI International
Erik Brynjolfsson
MIT
Jack Clark
OpenAI
James Manyika
McKinsey Global Institute
Juan Carlos Niebles
Stanford University
Terah Lyons
Partnership On AI
John Etchemendy
Stanford University
Barbara Grosz
Harvard University
Project Manager
Zoe Bauer
AI INDEX 2018

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How to cite this Report:
Yoav Shoham, Raymond Perrault, Erik Brynjolfsson, Jack Clark, James Manyika, Juan Carlos Niebles, Terah Lyons, John
Etchemendy, Barbara Grosz and Zoe Bauer, "The AI Index 2018 Annual Report”, AI Index Steering Committee,
Human-Centered AI Initiative, Stanford University, Stanford, CA, December 2018.
AI INDEX 2018
Our Mission is to ground the conversation about AI in data.
The AI Index is an effort to track, collate, distill, and visualize data
relating to artificial intelligence. It aspires to be a comprehensive
resource of data and analysis for policymakers, researchers,
executives, journalists, and the general public to develop intuitions
about the complex field of AI.
Welcome to the AI Index 2018 Report
(c) 2018 by Stanford University, “The AI Index 2018 Annual Report” is made available under a Creative Commons
Attribution-NoDerivatives 4.0 License (International) https://creativecommons.org/licenses/by-nd/4.0/legalcode

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Table of contents
AI INDEX 2018
Introduction to the AI Index 2018 Report
Overview
Volume of Activity
Research
Published Papers
Course Enrollment
Participation
Robot Software
Industry
Startups / Investment
Jobs
Patents
AI Adoption Survey
Earnings Calls
Robot Installations
Open Source Software
GitHub Project Statistics
Public Interest
Sentiment of Media Coverage
Government mentions
Technical Performance
Vision
Natural Language Understanding
Other Measures
Derivative Measures
Government Initiatives
Human-Level Performance Milestones
What’s Missing?
Acknowledgements
Appendix
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We are pleased to introduce the AI Index 2018 Annual Report. This year’s report accomplishes two
objectives. First, it refreshes last year’s metrics. Second, it provides global context whenever
possible. The former is critical to the Index’s mission — grounding the AI conversation means
tracking volumetric and technical progress on an ongoing basis. But the latter is also essential.
There is no AI story without global perspective. The 2017 report was heavily skewed towards North
American activities. This reflected a limited number of global partnerships established by the
project, not an intrinsic bias. This year, we begin to close the global gap. We recognize that there is
a long journey ahead — one that involves further collaboration and outside participation — to make
this report truly comprehensive.
Still, we can assert that AI is global. 83 percent of 2017 AI papers on Scopus originate outside the
U.S. 28 percent of these papers originate in Europe — the largest percentage of any region.
University course enrollment in artificial intelligence (AI) and machine learning (ML) is increasing
all over the world, most notably at Tsinghua in China, whose combined AI + ML 2017 course
enrollment was 16x larger than it was in 2010. And there is progress beyond just the United States,
China, and Europe. South Korea and Japan were the 2nd and 3rd largest producers of AI patents in
2014, after the U.S. Additionally, South Africa hosted the second Deep Learning Indaba conference,
one of the world’s largest ML teaching events, which drew over 500 participants from 20+ African
countries.
AI’s diversity is not just geographic. Today, over 50% of the Partnership on AI’s members are
nonprofits — including the ACLU, Oxford’s Future of Humanity Institute, and the United Nations
Development Programme. Also, there is heightened awareness of gender and racial diversity’s
importance to progress in AI. For example, we see increased participation in organizations like
AI4ALL and Women in Machine Learning (WiML), which encourage involvement by
underrepresented groups.
Introduction to the AI Index 2018 Annual Report
AI INDEX 2018
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