Large Language Models Reflect the Ideology of their Creators
2024/10/24 by Maarten Buyl, Alexander Rogiers, Buyl, Maarten +20 · 14 voices · 23 citations
Social Sciences · #Computational and Text Analysis Methods
paper · pdf · doi:10.48550/arxiv.2410.18417
Abstract
Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI) assistants like ChatGPT and already play an influential role in how humans access information. However, the behavior of LLMs varies depending on their design, training, and use. In this paper, we prompt a diverse panel of popular LLMs to describe a large number of prominent personalities with political relevance, in all six official languages of the United Nations. By identifying and analyzing moral assessments reflected in their responses, we find normative differences between LLMs from different geopolitical regions, as well as between the responses of the same LLM when prompted in different languages. Among only models in the United States, we find that popularly hypothesized disparities in political views are reflected in significant normative differences related to progressive values. Among Chinese models, we characterize a division between internationally- and domestically-focused models. Our results show that the ideological stance of an LLM appears to reflect the worldview of its creators. This poses the risk of political instrumentalization and raises concerns around technological and regulatory efforts with the stated aim of making LLMs ideologically 'unbiased'.
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Discussions
- Artigo mostrando que LLMs carregam vieses do criador delas. Eu falei isso quando ChatGPT surgiu em 2022. Sabe como sabia disso? Pq só crianças acreditam que computadores ou ciência não tem vieses. [bsky, 127 points, 3 comments]
- 🤖 "Large Language Models Reflect the Ideology of their Creators" "We find normative differences between LLMs from different geopolitical regions, as well as between the responses of the same LLM when [bsky, 11 points, 0 comments]
- Really shocking numbers! Was reading this earlier which just makes an (albeit by now) obvious point even more horrifying arxiv.org/abs/2410.18417 [bsky, 9 points, 0 comments]
- the choice of LLM is not value neutral. Different LLMs reflect the ideology of its creator. Not so surprising across countries (Chinese vs French LLM, for example); more surprising for different LLMs [bsky, 7 points, 1 comments]
- Look, there was research about AI vibes last year... or let's call it the default political stance of large language models > Our results show that the ideological stance of an LLM appears to reflect [bsky, 6 points, 1 comments]
- Large Language Models Reflect the Ideology of Their Creators [hn, 4 points, 2 comments]
- Not sure about the app, but when running the model locally, it happily told me all about Tiananmen Square :D. Read a really nice paper on this last year: arxiv.org/abs/2410.18417 [bsky, 2 points, 1 comments]
- "Sins of the Father…" @arxiv #llm #bias arxiv.org/abs/2410.18417 - "This raises important concerns around technological and regulatory efforts with the stated aim of making LLMs ideologically `unbias [bsky, 1 points, 0 comments]
- 💡What an interesting new study on the ideologies of AI language models, which are made in the image and likeness of their creators 👇 arxiv.org/abs/2410.18417 [bsky, 1 points, 1 comments]
- Large Language Models Reflect the Ideology of their Creators | arXiv arxiv.org/abs/2410.18417 #openaccess [bsky, 0 points, 0 comments]
- arxiv.org/pdf/2410.18417 [bsky, 0 points, 0 comments]
- Large Language Models Reflect the Ideology of their Creators. This raises important concerns around technological and regulatory efforts with the stated aim of making LLMs ideologically `unbiased', a [bsky, 0 points, 0 comments]
- ¿Tiene ideología ChatGpt? arxiv.org/abs/2410.18417 [bsky, 0 points, 0 comments]
- El documento que analiza el sesgo ideológico de las AI: ChatGPT (OpenAI) vs Gemini (Google) vía @elpais.com arxiv.org/pdf/2410.18417 [bsky, 0 points, 0 comments]
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