Summary of Hey Gpt, Can You Be More Racist? Analysis From Crowdsourced Attempts to Elicit Biased Content From Generative Ai, by Hangzhi Guo et al.
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI
by Hangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav
First submitted to arxiv on: 20 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); 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 study investigates how non-experts perceive and interact with biases in large language models (LLMs) and generative AI (GenAI) tools, highlighting the importance of understanding societal biases inherent within these technologies. The research presents findings from a university-level competition that challenged participants to design prompts for eliciting biased outputs from GenAI tools. Participants’ submissions are analyzed quantitatively and qualitatively to identify diverse set of biases in GenAI and strategies employed to induce bias. This work informs model developers on mitigating bias. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how people without technical expertise interact with biases in AI language models. It’s like when you use a chatbot that sometimes says weird or unfair things. The researchers wanted to know what makes these AI systems say those things and what we can do to make them be more fair. They found that people tried different ways to get the AI system to say biased things, like asking it to make jokes about certain groups of people. This study helps us understand how to fix this problem. |
