# Understanding support for AI regulation: A Bayesian network perspective

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/understanding-support-for-ai-regulation-a-bayesian-network-perspective/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andrea Cremaschi,Dae‐Jin Lee,Manuele Leonelli |
| Citations | 3 |
| DOI | 10.1177/18479790251383310 |
| Fields | Computer Science,Mathematics,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1177/18479790251383310 |
| OpenAlex ID | https://openalex.org/W4414702976 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Andrea Cremaschi](https://scholariq.org/researchers/andrea-cremaschi/)
- [Dae‐Jin Lee](https://scholariq.org/researchers/dae-jin-lee/)
- [Manuele Leonelli](https://scholariq.org/researchers/manuele-leonelli/)

## Paper journal

- [International Journal of Engineering Business Management](https://scholariq.org/journals/international-journal-of-engineering-business-management/)

## Paper primary topic

- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)

## Paper topics

- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)
- [Advanced Causal Inference Techniques](https://scholariq.org/topics/advanced-causal-inference-techniques/)
- [Mental Health Research Topics](https://scholariq.org/topics/mental-health-research-topics/)

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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.