ΑΙhub.org
 

2022 Artificial Intelligence Index Report published


by
18 March 2022



share this:

AI index report front cover
Image taken from the front cover of the 2022 AI Index Report.

The 2022 AI Index Report has been published. Compiled by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), it tracks, summarises and visualises data relating to artificial intelligence.

The aim of the report is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI.

The report comprises five chapters covering the following topics:

  1. Research and development
  2. Technical performance
  3. Technical AI ethics
  4. The economy and education
  5. AI policy and governance

The report authors have highlighted eight key takeaways from their investigations this year:

  • Private investment in AI soared while investment concentration intensified. Private investment in AI in 2021 was around $93.5 billion, more than double the 2021 amount. However, the number of newly funded AI companies continues to drop, from 1051 companies in 2019 and 762 companies in 2020 to 746 companies in 2021.
  • USA and China dominated cross-country collaborations on AI. The USA and China had the greatest number of cross-country collaborations in AI publications from 2010 to 2021, increasing five fold since 2010.
  • Language models are more capable than ever, but also more biased. Models are setting new records on technical benchmarks, but new data shows that larger models are also more capable of reflecting biases from their training data.
  • The rise of AI ethics everywhere. Since 2014, there has been a fivefold increase in AI ethics publications.
  • AI becomes more affordable and higher performing. Since 2018, the cost to train an image classification system has decreased by 63.6%, while training times have improved by 94.4%. T
  • Data, data, data. Top results across technical benchmarks have increasingly relied on the use of extra training data to set new state-of-the-art results.
  • More global legislation on AI than ever. The number of bills containing “artificial intelligence” that were passed into law grew from just 1 in 2016 to 18 in 2021.
  • Robotic arms are becoming cheaper. The median price of robotic arms has decreased by 46.2% in the past five years, from $42,000 per arm in 2017 to $22,600 in 2021.

Find out more about the report here.

You can access the full pdf version here.

How to cite this report

Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, and Raymond Perrault, “The AI Index 2022 Annual Report,” AI Index Steering Committee, Stanford Institute for Human-Centered AI, Stanford University, March 2022.

Past editions of the report

2021 AI Index Report
2019 AI Index Report
2018 AI Index Report
2017 AI Index Report




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models

  17 Jun 2025
Find out how Mahammed is investigating multiple facets of biases in LLMs.

Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?

  16 Jun 2025
Last month, Google announced SynthID Detector, a new tool to detect AI-generated content.

The Good Robot podcast: Symbiosis from bacteria to AI with N. Katherine Hayles

  13 Jun 2025
In this episode, Eleanor and Kerry talk to N. Katherine Hayles about her new book, and discuss how the biological concept of symbiosis can inform the relationships we have with AI.

Preparing for kick-off at RoboCup2025: an interview with General Chair Marco Simões

  12 Jun 2025
We caught up with Marco to find out what exciting events are in store at this year's RoboCup.

Graphic novel explains the environmental impact of AI

  11 Jun 2025
EPFL’s Center for Learning Sciences has released Utop’IA, an educational graphic novel that explores the environmental impact of artificial intelligence.

Interview with Amar Halilovic: Explainable AI for robotics

  10 Jun 2025
Find out about Amar's research investigating the generation of explanations for robot actions.

Congratulations to the #IJCAI2025 award winners

  09 Jun 2025
The winners of three prestigious IJCAI awards for 2025 have been announced.

Machine learning powers new approach to detecting soil contaminants

  06 Jun 2025
Method spots pollutants without experimental reference samples.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence