# Evaluating alignment of behavioral dispositions in LLMs

DevFeed: [Evaluating alignment of behavioral dispositions in LLMs](<https://devfeed.tech/articles/evaluating-alignment-of-behavioral-dispositions-in-llms-6769.md>)

Original publisher: [Read original article](<https://research.google/blog/evaluating-alignment-of-behavioral-dispositions-in-llms/>)

Published: 2026-04-03T08:00:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [Google](<https://devfeed.tech/topics/google.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [evaluation](<https://devfeed.tech/tags/evaluation.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [human-computer-interaction-and-visualization](<https://devfeed.tech/tags/human-computer-interaction-and-visualization.md>), [llms](<https://devfeed.tech/tags/llms.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [research](<https://devfeed.tech/tags/research.md>)

## AI overview

Google Research introduces a systematic framework for evaluating how closely large language models' behavioral dispositions align with human social inclinations and aggregated human consensus. The approach adapts established psychological assessments into large-scale situational judgment tests conducted in realistic user-assistant scenarios.

## Source excerpt

Generative AI