ΑΙhub.org
 

2023 AI Index Report released


by
05 April 2023



share this:
blue background with text: artificial intelligence index report 2023

The AI Index Report aims to track, collate, distil, and visualise data related to artificial intelligence. Its mission 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 AI Index Report is published on a yearly basis, and the eight-chapter 2023 edition has recently been released. It investigates trends in research and development, technical performance, ethics, and public opinion. Also considered are the implications of AI systems on the economy, the state of AI education, and the issues of policy and governance.

The team behind the report have highlighted the following key takeaways:

  • Industry releases more “significant” machine learning models than academia, with 32 released in 2022 compared with three. Until 2014, most significant machine learning models were released by academic institutions.
  • Performance on traditional benchmarks is saturating. State-of-the-art results continue to be published, but year-over-year improvement on many benchmarks continues to be marginal.
  • Training of AI models has environmental implications, with BLOOM’s training run emitting 25 times more carbon than a single air traveller on a one-way trip from New York to San Francisco. However, AI systems can be used to optimize energy usage.
  • AI models are being used to aid scientific discoveries, with 2022 seeing AI applied to the study of hydrogen fusion, the efficiency of matrix manipulation, and generation of new antibodies.
  • The occurrence of incidents and controversies concerning the misuse of AI is rapidly rising, with the number increasing 26 times since 2012.
  • The demand for AI-related professional skills is increasing across virtually every industrial sector in the USA.
  • For the first time in the last decade, year-on-year private investment in AI decreased.
  • The proportion of companies adopting AI in 2022 has more than doubled since 2017, though it has plateaued in recent years.
  • The number of bills containing “artificial intelligence” that were passed into law grew from just 1 in 2016 to 37 in 2022.
  • Chinese citizens are among those who feel the most positively about AI products and services. Citizens of the USA were among those who felt least positively.

Read the report in full

PDF of the report
AI Index Report webpage




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

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.
monthly digest

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

  27 Feb 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

  26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence