# Four facets of AI transparency

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/four-facets-of-ai-transparency/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stefan Larsson,Kashyap Haresamudram,Charlotte Högberg,Yucong Lao,Axel Nyström,Kasia Söderlund |
| Citations | 7 |
| DOI | 10.4337/9781803928562.00047 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://lup.lub.lu.se/search/files/142186928/Larsson_et_al_2022_Four_Facets_of_AI_Transparency.pdf |
| OpenAlex ID | https://openalex.org/W4388823197 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

- [Charlotte Högberg](https://scholariq.org/researchers/charlotte-hogberg/)

## 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/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

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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.