# 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-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhang Baobao,Markus Anderljung,Lauren Kahn,Noemi Dreksler,Michael C. Horowitz,Allan Dafoe |
| Citations | 77 |
| DOI | 10.1613/jair.1.12895 |
| Fields | Computer Science,Medicine,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://jair.org/index.php/jair/article/download/12895/26701 |
| OpenAlex ID | https://openalex.org/W3192223999 |
| Type | article |
| Year | 2021 |

## Paper authors

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

## 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/)

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