# A multidomain relational framework to guide institutional AI research and adoption

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multidomain-relational-framework-to-guide-institutional-ai-research-and-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vincent J. Straub,Deborah Morgan,Youmna Hashem,John Francis,Saba Esnaashari,Jonathan Bright |
| Citations | 9 |
| DOI | 10.1145/3600211.3604718 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://dl.acm.org/doi/pdf/10.1145/3600211.3604718 |
| OpenAlex ID | https://openalex.org/W4386242399 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Youmna Hashem](https://scholariq.org/researchers/youmna-hashem/)
- [Saba Esnaashari](https://scholariq.org/researchers/saba-esnaashari/)

## 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/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Qualitative Comparative Analysis Research](https://scholariq.org/topics/qualitative-comparative-analysis-research/)

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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.