Some language reward models exhibit political bias even when trained on factual data
Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point that it is often impossible to distinguish between something written through generative AI and human-composed text. However, these models can also sometimes generate false statements or display a political bias.
The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT,…
Text-to-image (T2I) generative artificial intelligence tools are increasingly powerful and widespread tools that can create nearly any image based on just a few inputted words. T2I generative AI can create convincingly realistic photos and videos, which are being used more and more for a multitude of purposes, from art to…
Generative AI may be riddled with hallucinations, misinformation, and bias, but that didn't stop over half of respondents in a recent global study from saying that they would use this nascent technology for sensitive areas like financial planning and medical advice.