Bias in large language models (LLMS)

In a sensational revelation8 that sent shockwaves through the AI community, ChatGPT, powered by OpenAI’s formidable GPT-3 model, found itself embroiled in controversy for producing incorrect, biased, or downright inappropriate responses. This discovery ignited concerns about the model’s safety and the potential propagation of misinformation by an AI system intended to revolutionize human-machine interaction.

Natural language processing is a critical area in AI and machine learning, and studies show that LLMs can mimic subconscious human bias even when they are not actively presenting it. Word embedding is a popular natural language technique used to represent text data as vectors, which has been used in many machine learning and natural language processing tasks. The seminal paper Man is to Computer Programmer as Woman is to Homemaker?9 discusses debiasing word embeddings, and shows how natural language processing techniques can...