A recent study by the Manhattan Institute reveals that Wikipedia entries exhibit a bias against conservative political figures and organizations, portraying them more negatively than their liberal counterparts. This bias is reflected in the sentiment and emotional tone of articles, with right-leaning figures associated with negative emotions like anger and disgust, while left-leaning figures are linked to positive emotions like joy. The study highlights the potential impact of this bias on training artificial intelligence models, such as ChatGPT, which often rely on Wikipedia content, raising concerns about the spread of bias in AI systems. Wikipedia's influence on AI training data underscores the need for accuracy and neutrality in its content to prevent the perpetuation of biases in advanced technologies.