# Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI

arXiv: https://arxiv.org/abs/2411.10613 · HTML: https://mlsanity.com/paper/2411.10613/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use.
- Builds on 1 of its 8 references that are in the map.
- First posted on arXiv 15 Nov 2024.

## Placed in

- LLM agents and tool use / [General LLM agent frameworks and benchmarks](https://mlsanity.com/agents/general-llm-agent-frameworks-and-benchmarks/)

## Builds on (most cited first, 1 of 1)

- [Policy Aggregation](https://mlsanity.com/paper/2411.03651/) (2024)

## Built on by (most cited first, 2 of 2)

- [Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems](https://mlsanity.com/paper/2505.18139/) (2025)
- [Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems](https://mlsanity.com/paper/2605.16198/) (2026)

## Abstract (arXiv)

Pluralistic alignment is concerned with ensuring that an AI system's objectives and behaviors are in harmony with the diversity of human values and perspectives. In this paper we study the notion of pluralistic alignment in the context of agentic AI, and in particular in the context of an agent that is trying to learn a policy in a manner that is mindful of the values and perspective of others in the environment. To this end, we show how being considerate of the future wellbeing and agency of other (human) agents can promote a form of pluralistic alignment.