A Method for Learning Value Systems in Generative AI
Value-aware AI systems require explicit computational representations of human values (groundings) and their aggregation into value systems in order to align their decisions with ours. As such representations are difficult to elicit, value learning seeks to infer them by observing human behaviour. This work addresses the lack of grounded value learning methods in generative AI: existing approaches typically replicate human preferences without awareness of the multidimensional structure of value alignment, or lack principled value system elicitation methods. To address these gaps, we adapt a previously validated value system learning method to the generative AI setting, which, based on pai...
| Authors | Andrés Holgado-Sánchez, Holger Billhardt, Sascha Ossowski |
|---|---|
| Primary category | cs.CY |
| Published | 18 July 2026 |
| Last updated at source | 18 July 2026 |
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