variables: 953914
Data license: CC-BY
This data as json
id | name | unit | description | createdAt | updatedAt | code | coverage | timespan | datasetId | sourceId | shortUnit | display | columnOrder | originalMetadata | grapherConfigAdmin | shortName | catalogPath | dimensions | schemaVersion | processingLevel | processingLog | titlePublic | titleVariant | attributionShort | attribution | descriptionShort | descriptionFromProducer | descriptionKey | descriptionProcessing | licenses | license | grapherConfigETL | type | sort | dataChecksum | metadataChecksum |
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953914 | Annual number of AI systems by researcher affiliation | AI systems | 2024-07-17 16:46:29 | 2024-07-17 16:46:31 | 1950-2024 | 6624 | { "unit": "AI systems", "numDecimalPlaces": 0 } |
0 | yearly_count | grapher/artificial_intelligence/2024-07-10/epoch_aggregates_affiliation/epoch_aggregates_affiliation#yearly_count | 2 | major | 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. | The distinction is documented in [Academia and Industry](https://docs.google.com/document/d/1wyJmDOWDEKItg0QhO5cpsNAgHq4aHOxQQZnTfzm34gI/edit). 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 | [] |
int | [] |
d7aef4819eadcd233e0acea79c12b7ee | 03b51684cb4e5eb7d134bc5bd9961cf2 |