# Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/forecasting-ai-progress-evidence-from-a-survey-of-machine-learning-researchers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Baobao Zhang,Noemi Dreksler,Markus Anderljung,Lauren E. Kahn,Charlie Giattino,Allan Dafoe,Michael C. Horowitz |
| Citations | 22 |
| DOI | 10.48550/arxiv.2206.04132 |
| Fields | Business, Management and Accounting |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2206.04132 |
| OpenAlex ID | https://openalex.org/W4281642391 |
| Type | preprint |
| Year | 2022 |

## Paper authors

- [Noemi Dreksler](https://scholariq.org/researchers/noemi-dreksler/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Big Data and Business Intelligence](https://scholariq.org/topics/big-data-and-business-intelligence/)

## Paper topics

- [Big Data and Business Intelligence](https://scholariq.org/topics/big-data-and-business-intelligence/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.