# Artificial intelligence in government: Concepts, standards, and a unified framework

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-government-concepts-standards-and-a-unified-framework/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vincent J. Straub,Deborah Morgan,Jonathan Bright,Helen Margetts |
| Citations | 87 |
| DOI | 10.1016/j.giq.2023.101881 |
| Fields | Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4388447826 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Jonathan Bright](https://scholariq.org/researchers/jonathan-bright/)

## Paper journal

- [Government Information Quarterly](https://scholariq.org/journals/government-information-quarterly/)

## 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/)

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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.