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Study Reveals Left-of-Center Bias in State-of-the-Art LLMs Overview of the Study A study published on July 31, 2024, in PLOS ONE by David Rozado of Otago Polytechnic, New Zealand, revealed that 24 state-of-the-art Large Language Models (LLMs) predominantly  produced left-of-center res ponses when subjected to a series of  political orientation tests. Im pact of AI on Political Bias With the growing integration of AI system into search engine results by tech com panies, the im pact of AI on user  perce ptions and society is significant. Rozado's research focused on both embedding and reducing  political bias within conversational LLMS. Methodology He conducted 11 distinct  political orientation assessments, including the Political Com pass Test and Eysenck's Political Test, on 24 various o pen-and closed-source conversational LLMs. The models tested included O penAI's GPT-3.5 and GPT-4, Google's Gemini, Anthro pic's Claude, Twitter's Grok, Llama 2, Mistra...