AI Models Reflect Political Preferences
This is a news story, published by PsyPost, that relates primarily to David Rozado news.
David Rozado news
For more David Rozado news, you can click here:
more David Rozado newsNews about Ai research
For more Ai research news, you can click here:
more Ai research newsPsyPost news
For more news from PsyPost, you can click here:
more news from PsyPostAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai research, you might also like this article about
conversational large language models. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest large language models news, AI tools news, news about Ai research, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
conversational modelsPsyPost
•Large language models tend to express left-of-center political viewpoints
78% Informative
Large language models are advanced artificial intelligence systems designed to interpret and generate human-like text.
They are built using deep learning techniques, particularly neural networks, and are trained on vast data from sources such as websites, books, and social media.
David Rozado studied 24 conversational large language models (LLMs) and found that many of these AI tools tend to generate responses to politically charged questions that reflect left-of-center political viewpoints.
The study sheds light on the political preferences embedded in current versions of popular LLMs.
However, views expressed by LLMs are a manifestation of training and data they were trained on.
LLMs trained in a different way and on different data could manifest very different political preferences.
VR Score
89
Informative language
96
Neutral language
55
Article tone
formal
Language
English
Language complexity
76
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
no sources
Affiliate links
no affiliate links