Our World
in Data
Data

Share of notable AI systems by researcher affiliation

See all data and research on:
Artificial Intelligence

What you should know about this indicator

The distinction is documented in Academia and Industry. Systems are categorized as “Industry” if their authors are affiliated with private sector organizations, “Academia” if the authors are affiliated with universities or academic institutions, or “Industry - Academia Collaboration” when at least 30% of the authors are from each. Possible values: Industry, Research Collective, Academia, Industry - Academia Collaboration (Industry leaning), Industry - Academia Collaboration (Academia leaning), Non-profit

Share of notable AI systems by researcher affiliation
Describes the sector where the authors of a notable AI system have their primary affiliations. The 2024 data is incomplete and was last updated 17 July 2024.
Source
Epoch (2024) – with major processing by Our World in Data
Last updated
July 10, 2024
Next expected update
August 2024
Date range
1950–2024
Unit
AI systems

Sources and processing

This data is based on the following sources

Retrieved on
July 10, 2024
Retrieved from
https://epochai.org/mlinputs/visualization
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Epoch AI, ‘Parameter, Compute and Data Trends in Machine Learning’. Published online at epochai.org. Retrieved from: ‘https://epochai.org/data/epochdb/visualization’ [online resource]

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Share of notable AI systems by researcher affiliation”, part of the following publication: Charlie Giattino, Edouard Mathieu, Veronika Samborska and Max Roser (2023) - “Artificial Intelligence”. Data adapted from Epoch. Retrieved from https://ourworldindata.org/grapher/cumulative-share-of-notable-artificial-intelligence-systems-by-researcher-affiliation [online resource]
How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Epoch (2024) – with major processing by Our World in Data

Full citation

Epoch (2024) – with major processing by Our World in Data. “Share of notable AI systems by researcher affiliation” [dataset]. Epoch, “Parameter, Compute and Data Trends in Machine Learning” [original data]. Retrieved July 27, 2024 from https://ourworldindata.org/grapher/cumulative-share-of-notable-artificial-intelligence-systems-by-researcher-affiliation