Summary of Limited Ability Of Llms to Simulate Human Psychological Behaviours: a Psychometric Analysis, by Nikolay B Petrov et al.
Limited Ability of LLMs to Simulate Human Psychological Behaviours: a Psychometric Analysis
by Nikolay B Petrov, Gregory Serapio-García, Jason Rentfrow
First submitted to arxiv on: 12 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract discusses the potential use of large language models (LLMs) as simulated human participants in social science experiments and surveys. Researchers have been investigating whether LLMs can be used to map out psychological profiles by prompting them with standardized questionnaires. The study uses psychometrics, a field that deals with measuring psychological phenomena, to analyze the responses of OpenAI’s GPT-3.5 and GPT-4 models. The researchers found that GPT-4’s responses using generic persona descriptions showed promising psychometric properties similar to human norms, but poor properties when specific demographic profiles were used. This study raises doubts about LLMs’ ability to simulate individual-level human behavior in multiple-choice question answering tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models can pretend to be people and answer questions like humans do. Scientists want to know if these models can be used in social science experiments and surveys instead of real people. To figure this out, they tested the models on standardized personality tests. The study found that one model (GPT-4) does a good job when pretending to be a generic person, but not so well when pretending to be someone with specific characteristics like age or gender. This means that these language models are not very good at pretending to be real people. |
Keywords
» Artificial intelligence » Gpt » Prompting » Question answering
