# Deliberative Alignment

> Deliberative alignment is a safety-training method in which a reasoning model is taught the text of a safety specification and trained to recall and reason about the relevant policies in its chain of thought before answering.

- Identifier: PTL-0167
- Category: Security & Adversarial Prompting
- Canonical URL: https://protologue.com/t/deliberative-alignment/
- Introduced: 2024

## Description

Instead of learning safe behavior only from labeled examples, the model learns to consult explicit rules at inference time. Its authors reported better resistance to jailbreaks together with fewer unnecessary refusals. It is related to constitutional AI, which also trains from written principles.

## Related terms

- [Constitutional AI](https://protologue.com/t/constitutional-ai/)
- [Reasoning Model](https://protologue.com/t/reasoning-model/)
- [Over-Refusal](https://protologue.com/t/over-refusal/)
- [Jailbreak](https://protologue.com/t/jailbreak/)

## Sources

- Guan et al. (2024). Deliberative Alignment: Reasoning Enables Safer Language Models. https://arxiv.org/abs/2412.16339

## Cite this entry

Protologue. (2026). Deliberative Alignment. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.4.0, PTL-0167). https://protologue.com/t/deliberative-alignment/

License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)