Artificial Neutrality: Bias and Omission in Large Language Models’ Descriptions of Urban Wildlife

Large Language Models (LLMs) are increasingly prominent AI applications, but they remain vulnerable to bias rooted in their training data. Such bias matters in the context of animals, since LLM outputs can influence human attitudes and behaviours toward wildlife. To explore this, we conducted a word