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Published on: June 3, 2013
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Estimating divergent moral and diversity preferences between AI builders and AI users.
Zoe A Purcell1, Laura Charbit1, Grégoire Borst1
1Université Paris Cité, LaPsyDÉ, CNRS, F-75005 Paris, France.
Cognition
|June 6, 2025
Summary
AI builders
Area of Science:
- Human-Computer Interaction
- AI Ethics
- Sociotechnology
Background:
- AI development is influenced by builders' preferences.
- Demographic homogeneity in the AI workforce may create misalignments with diverse AI users.
- Concerns exist regarding potential value gaps between AI creators and consumers.
Purpose of the Study:
- To investigate demographic disparities between AI builders and users.
- To examine differences in moral beliefs and diversity preferences.
- To assess the impact of AI engagement on these differences.
Main Methods:
- Pseudo-experimental, cross-sectional design.
- Surveyed adults (N=519) and adolescents (N=395) with varying AI engagement.
- Assessed personal moral beliefs and diversity preferences for machine outputs.
Main Results:
- Males and adults with higher AI engagement showed more instrumental harm endorsement and less diversity support.
- Adolescent data suggests potential narrowing of these differences in future cohorts.
- Findings indicate possible value gaps between current AI builders and users.
Conclusions:
- Demographic homogeneity in AI workforce may lead to belief and expectation gaps.
- A diverse AI workforce is crucial for aligning AI with societal values.
- Addressing demographic disparities is essential for responsible AI development.
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