# Generative AI can fabricate advanced scientific visualizations: ethical implications and strategic mitigation framework

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generative-ai-can-fabricate-advanced-scientific-visualizations-ethical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jeff J. H. Kim,Richard Um,James Lee,Olusola Ajilore |
| Citations | 36 |
| DOI | 10.1007/s43681-024-00439-0 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4392509585 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Jeff J. H. Kim](https://scholariq.org/researchers/jeff-j-h-kim/)

## Paper primary topic

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

## Paper topics

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)
- [Ethics and Social Impacts of AI](https://scholariq.org/topics/ethics-and-social-impacts-of-ai/)
- [Data Visualization and Analytics](https://scholariq.org/topics/data-visualization-and-analytics/)

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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.