# Generative AI entails a credit–blame asymmetry

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generative-ai-entails-a-credit-blame-asymmetry/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sebastian Porsdam Mann,Brian D. Earp,Sven Nyholm,John Danaher,Nikolaj Møller,Hilary Bowman‐Smart,Joshua Hatherley,Julian Koplin,Monika Plozza,Daniel Rodger,Peter V. Treit,Grégory Renard,John McMillan,Julian Savulescu |
| Citations | 90 |
| DOI | 10.1038/s42256-023-00653-1 |
| Fields | Computer Science,Medicine,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4368362817 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Julian Koplin](https://scholariq.org/researchers/julian-koplin/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [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.