Summary of Whose Side Are You On? Investigating the Political Stance Of Large Language Models, by Pagnarasmey Pit et al.
Whose Side Are You On? Investigating the Political Stance of Large Language Models
by Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Henry Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang
First submitted to arxiv on: 15 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a framework to investigate the political orientation of Large Language Models (LLMs) and mitigate their potential biases. The researchers analyze the responses of LLMs across eight polarizing topics, finding that they tend to align with liberal or left-leaning perspectives. The study highlights the importance of query crafting and prompt language selection to avoid politicized responses. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper wants to make sure that Large Language Models don’t give us biased answers. It looks at how these models answer questions about important topics like abortion and LGBTQ issues. The results show that these models tend to give liberal or left-leaning answers, but they can be made to give more balanced answers if we ask the right questions. |
Keywords
» Artificial intelligence » Prompt
