# Substratism: Conceptualizing and measuring moral bias against AI

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/substratism-conceptualizing-and-measuring-moral-bias-against-ai/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Ladak,Janet V. T. Pauketat,Jacy Reese Anthis,Steve Loughnan,Matti Wilks |
| Citations | 0 |
| DOI | 10.1016/j.chb.2026.109120 |
| Fields | Computer Science,Neuroscience,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.chb.2026.109120 |
| OpenAlex ID | https://openalex.org/W7167623800 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Ali Ladak](https://scholariq.org/researchers/ali-ladak/)

## Paper journal

- [Computers in Human Behavior](https://scholariq.org/journals/computers-in-human-behavior/)

## 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/)
- [Psychology of Moral and Emotional Judgment](https://scholariq.org/topics/psychology-of-moral-and-emotional-judgment/)
- [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.