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Artificial Intelligence has leapt to the forefront of global discourse, garnering increased attention from practitioners, industry leaders, policymakers, and the general public. The diversity of opinions and debates gathered from news articles this year illustrates just how broadly AI is being investigated, studied, and applied. However, the field of AI is still evolving rapidly and even experts have a hard time understanding and tracking progress across the field.
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 influence on society has never been more pronounced.
The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry.
The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry.
This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with Stanford HAI.
The AI Index Report tracks, collates, distills, and visualizes data relating to artificial intelligence.
Its mission is to provide unbiased, rigorous, and comprehensive data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI.
Artificial Intelligence has leapt to the forefront of global discourse, garnering increased attention from practitioners, industry leaders, policymakers, and the general public. The diversity of opinions and debates gathered from news articles this year illustrates just how broadly AI is being investigated, studied, and applied. However, the field of AI is still evolving rapidly and even experts have a hard time understanding and tracking progress across the field.
This report aggregates a diverse set of data, makes that data accessible, and includes discussion about what is provided and what is missing. Most importantly, the AI Index 2017 Report is a starting point for the conversation about rigorously measuring activity and progress in AI in the future.
Volume of Activity
The Volume of Activity metrics capture the "how much" aspects of the field, like attendance at AI conferences and VC investments into startups developing AI systems.
Technical Performance
The Technical Performance metrics capture the "how good" aspects; for example, how well computers can understand images and prove mathematical theorems.
Derivative Measures
We investigate the relationship between trends. We also introduce an exploratory measure, the AI Vibrancy Index, that combines trends across academia and industry to quantify the liveliness of AI as a field.
Towards Human Performance
We outline a short list of notable areas where AI systems have made significant progress towards matching or exceeding human performance. We also discuss the difficulties of such comparisons.
Expert Forum
We include subjective commentary from a cross-section of AI experts. This Expert Forum helps animate the story behind the data in the report and adds interpretation the report lacks.
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’s report included new analysis on foundation models, including their geopolitics and training costs, the environmental impact of AI systems, K-12 AI education, and public opinion trends in AI.
The latest edition includes data from a broad set of academic, private, and nonprofit organizations as well as more self-collected data and original analysis than any previous editions
This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with Stanford HAI.
The 2019 edition tracks three times as many data sets as the 2018 edition.
The AI Index is a starting point for informed conversations about progress in artificial intelligence. The report aggregates a diverse set of metrics, and makes the underlying data easily accessible to the general public.