2024年人工智能指数报告

VIP专享

3.0 JOKER 2024-07-31 28 42.04MB 502 页免费

侵权投诉

Articial

Intelligence

Index Report

2024

Articial Intelligence

Index Report 2024

Introduction to the

AI Index Report 2024

Welcome to the seventh edition of the AI Index report. The 2024 Index is our most comprehensive to date and

arrives at an important moment when AI’s inuence on society has never been more pronounced. This year,

we have broadened our scope to more extensively cover essential trends such as technical advancements

in AI, public perceptions of the technology, and the geopolitical dynamics surrounding its development.

Featuring more original data than ever before, this edition introduces new estimates on AI training costs,

detailed analyses of the responsible AI landscape, and an entirely new chapter dedicated to AI’s impact on

science and medicine.

The AI Index report tracks, collates, distills, and visualizes data related to articial intelligence (AI). Our

mission is to provide unbiased, rigorously vetted, broadly sourced data in order for policymakers, researchers,

executives, journalists, and the general public to develop a more thorough and nuanced understanding of the

complex eld of AI.

The AI Index is recognized globally as one of the most credible and authoritative sources for data and insights

on articial intelligence. Previous editions have been cited in major newspapers, including the The New York

Times, Bloomberg, and The Guardian, have amassed hundreds of academic citations, and been referenced

by high-level policymakers in the United States, the United Kingdom, and the European Union, among

other places. This year’s edition surpasses all previous ones in size, scale, and scope, reecting the growing

signicance that AI is coming to hold in all of our lives.

Articial Intelligence

Index Report 2024

Message From

the Co-directors

A decade ago, the best AI systems in the world were unable to classify objects in images at a human level. AI

struggled with language comprehension and could not solve math problems. Today, AI systems routinely exceed

human performance on standard benchmarks.

Progress accelerated in 2023. New state-of-the-art systems like GPT-4, Gemini, and Claude 3 are impressively

multimodal: They can generate uent text in dozens of languages, process audio, and even explain memes. As AI

has improved, it has increasingly forced its way into our lives. Companies are racing to build AI-based products,

and AI is increasingly being used by the general public. But current AI technology still has signicant problems. It

cannot reliably deal with facts, perform complex reasoning, or explain its conclusions.

AI faces two interrelated futures. First, technology continues to improve and is increasingly used, having major

consequences for productivity and employment. It can be put to both good and bad uses. In the second future,

the adoption of AI is constrained by the limitations of the technology. Regardless of which future unfolds,

governments are increasingly concerned. They are stepping in to encourage the upside, such as funding university

R&D and incentivizing private investment. Governments are also aiming to manage the potential downsides, such

as impacts on employment, privacy concerns, misinformation, and intellectual property rights.

As AI rapidly evolves, the AI Index aims to help the AI community, policymakers, business leaders, journalists, and

the general public navigate this complex landscape. It provides ongoing, objective snapshots tracking several

key areas: technical progress in AI capabilities, the community and investments driving AI development and

deployment, public opinion on current and potential future impacts, and policy measures taken to stimulate AI

innovation while managing its risks and challenges. By comprehensively monitoring the AI ecosystem, the Index

serves as an important resource for understanding this transformative technological force.

On the technical front, this year’s AI Index reports that the number of new large language models released

worldwide in 2023 doubled over the previous year. Two-thirds were open-source, but the highest-performing

models came from industry players with closed systems. Gemini Ultra became the rst LLM to reach human-

level performance on the Massive Multitask Language Understanding (MMLU) benchmark; performance on the

benchmark has improved by 15 percentage points since last year. Additionally, GPT-4 achieved an impressive 0.96

mean win rate score on the comprehensive Holistic Evaluation of Language Models (HELM) benchmark, which

includes MMLU among other evaluations.

研报加载中……请稍候！
如果长时间未打开，您也可以点击刷新试试。

下载研报到电脑，查找使用更方便

立即下载

标签： #人工智能

摘要：

ArticialIntelligenceIndexReport2024ArticialIntelligenceIndexReport20242IntroductiontotheAIIndexReport2024WelcometotheseventheditionoftheAIIndexreport.The2024IndexisourmostcomprehensivetodateandarrivesatanimportantmomentwhenAI’sinuenceonsocietyhasneverbeenmorepronounced.Thisyear,wehavebroadenedour...

展开>> 收起<<

2024年人工智能指数报告.pdf

共502页,预览10页

还剩页未读，继续阅读