The AI Index is a starting point for informed conversations about the state of artificial intelligence (AI). The report aggregates a diverse set of metrics, and makes the underlying data easily accessible to the general public. The 2019 edition tracks three times as many data sets as the 2018 edition. To help navigate the data, we've produced two tools. The Global AI Vibrancy Tool compares 28 countries' global activities across 34 indicators, including both a cross-country perspective, as well as a country-specific drill down.

The AI Index Report tracks, collates, distills, and visualizes data relating to artificial intelligence. Its mission is to provide unbiased, rigorously-vetted data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. Expanding annually, the Report endeavors to include data on AI development from communities around the globe.

We're excited to release the AI Index 2019 Report, one of the most comprehensive studies about AI to date. Because AI touches so many aspects of society, the Index takes an interdisciplinary approach by design, analyzing and distilling patterns about AI's broad global impact on everything from national economies to job growth, research and public perception. The purpose of the project is to ground the discussion on AI in data, serving practitioners, industry leaders, policymakers and funders, the general public and the media that informs it. An independent initiative within Stanford University's Human-Centered Artificial Intelligence Institute, the report is in its third year and is the result of a collaborative effort led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry, in collaboration with more than 35 sponsoring partners and data contributors. The first two reports established the Index as the preeminent source of data about AI.

Leaders in the AI community came together to release the 2019 AI Index report today, an annual attempt to examine the biggest trends shaping the AI industry, breakthrough research, and AI's impact to society. It also examines trends like AI hiring practices, private investment, AI research contributions by nation, researchers leaving academia for industry, and how much AI plays a role in specific industries. The report also notes strides in the reduction of the amount of time it takes to train AI systems and computing costs, two of the biggest hindrances to AI adoption rates. "In a year and a half, the time required to train a large image classification system on cloud infrastructure has fallen from about three hours in October 2017 to about 88 seconds in July, 2019," the report reads. The report is compiled by the Stanford Human-Centered AI Institute in collaboration with people from OpenAI.