# Value-Aware Multiagent Systems

arXiv: https://arxiv.org/abs/2512.12652 · HTML: https://mlsanity.com/paper/2512.12652/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 21 references that are in the map.
- First posted on arXiv 14 Dec 2025.

## Builds on (most cited first, 4 of 4)

- [Value alignment: a formal approach](https://mlsanity.com/paper/2110.09240/) (2021)
- [A computational framework for human values](https://mlsanity.com/paper/2305.02748/) (2023)
- [Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Making](https://mlsanity.com/paper/2403.01600/) (2024)
- [Modelling Human Values for Value-Aware Multi-Agent Systems](https://mlsanity.com/paper/2402.06359/) (2024)

## Abstract (arXiv)

This paper introduces the concept of value awareness in AI, which goes beyond the traditional value-alignment problem. Our definition of value awareness presents us with a concise and simplified roadmap for engineering value-aware AI. The roadmap is structured around three core pillars: (1) learning and representing human values using formal semantics, (2) ensuring the value alignment of both individual agents and multiagent systems, and (3) providing value-based explainability on behaviour. The paper presents a selection of our ongoing work on some of these topics, along with applications to real-life domains.