# Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ethics-and-governance-of-artificial-intelligence-evidence-from-a-survey-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Baobao Zhang,Markus Anderljung,Lauren Kahn,Noemi Dreksler,Michael C. Horowitz,Allan Dafoe |
| Citations | 12 |
| DOI | 10.48550/arxiv.2105.02117 |
| Fields | Computer Science,Medicine,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2105.02117 |
| OpenAlex ID | https://openalex.org/W3157537313 |
| Type | preprint |
| Year | 2021 |

## Paper authors

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

## Paper journal

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

## Paper primary topic

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)

## Paper topics

- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.
