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Dataset Information

Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz's Theory of Basic Values.


ABSTRACT:

Background

Large language models (LLMs) hold potential for mental health applications. However, their opaque alignment processes may embed biases that shape problematic perspectives. Evaluating the values embedded within LLMs that guide their decision-making have ethical importance. Schwartz's theory of basic values (STBV) provides a framework for quantifying cultural value orientations and has shown utility for examining values in mental health contexts, including cultural, diagnostic, and therapist-client dynamics.

Objective

This study aimed to (1) evaluate whether the STBV can measure value-like constructs within leading LLMs and (2) determine whether LLMs exhibit distinct value-like patterns from humans and each other.

Methods

In total, 4 LLMs (Bard, Claude 2, Gen

SUBMITTER: Hadar-Shoval D 

PROVIDER: S-EPMC11040439 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature