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Artificial intelligence (AI) driven language models have seen a rapid rise in development, deployment, and adoption over the last few years. This surge has sparked many discussions about their societal and political impact, including political bias. Bias is a crucial topic in the context of large models due to its far-reaching consequences on technology, politics, and society. It significantly influences public perception, decision-making, political discourse, and AI policy governance and ethics. This study investigates political bias through a comparative analysis of four prominent AI models: ChatGPT-4, Perplexity, Google Gemini, and Claude.
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Tavishi Choudhary (Mon,) studied this question.
www.synapsesocial.com/papers/68e60368b6db6435875970db — DOI: https://doi.org/10.36227/techrxiv.172107441.12283354/v1
Tavishi Choudhary
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