[论文解读] Artificial Intelligence Index Report 2024

Nestor Maslej, Loredana Fattorini+12 more|arXiv (Cornell University)|May 29, 2024

Artificial Intelligence in Healthcare and Education被引用 158

一句话总结

2024 AI 指数报告是迄今为止最全面的版本，覆盖技术性人工智能进展、公众认知、地缘政治，以及关于培训成本与对科学与医学影响的新数据。

ABSTRACT

The 2024 Index is our most comprehensive to date and arrives at an important moment when AI's influence 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 artificial 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 field of AI. The AI Index is recognized globally as one of the most credible and authoritative sources for data and insights on artificial 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, reflecting the growing significance that AI is coming to hold in all of our lives.

研究动机与目标

• 扩大范围，覆盖技术性AI进展、公众认知，以及围绕AI发展的地缘政治动态。
• 提供更多原创数据和分析，以供政策制定者、研究人员和公众参考。
• 引入新章节和指标，包括AI培训成本估算和负责任AI格局。
• 通过专门的新章节突出AI对科学与医学的影响。

提出的方法

• 汇聚并可视化与AI相关的多样化数据来源，以确保获得无偏见、经过严格审查的见解。
• 提供关于AI培训成本的新估算。
• 分析负责任AI格局与治理考量。
• 提供叙述性与数据驱动的综合分析，以揭示AI对社会的影响。
• 发布面向政策制定者、研究人员、记者和公众的综合、可扩展的见解。

实验结果

研究问题

• RQ1 在2024年塑造AI的关键技术、社会与地缘政治趋势是什么？
• RQ2 公众对AI的认知与技术进展和政策行动之间的关系如何？
• RQ3 AI培训相关成本有哪些，以及这些成本如何演变？
• RQ4 跨行业的负责任AI实践与治理现状如何？
• RQ5 AI对科学与医学的影响是什么，它如何改变这些领域？

主要发现

• 2024 版在体量、规模和覆盖范围上都是迄今最大的。
• 引入关于AI培训成本的新估算。
• 报告扩展了对公众认知和地缘政治动态的覆盖。
• 专门的章节分析AI对科学与医学的影响。
• AI 指数继续成为政策制定者和研究人员的核心、可信的数据源。