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In this episode, Ross and Treston unpack the rising concern over bias in large language models and its implications for business, politics, and information ecosystems. As AI systems become embedded in corporate workflows and decision-making, the hosts explore how cultural, political, and commercial bias seeps into data and rules, shaping what people see, believe, and decide.
They discuss AI as a new arena of soft power competition between China and the West, how LLMs can reflect partisan or ideological leanings, and the emerging phenomenon of “LLM SEO” — manipulating models to amplify certain narratives.
By Ross Hill and Dr Treston WheatIn this episode, Ross and Treston unpack the rising concern over bias in large language models and its implications for business, politics, and information ecosystems. As AI systems become embedded in corporate workflows and decision-making, the hosts explore how cultural, political, and commercial bias seeps into data and rules, shaping what people see, believe, and decide.
They discuss AI as a new arena of soft power competition between China and the West, how LLMs can reflect partisan or ideological leanings, and the emerging phenomenon of “LLM SEO” — manipulating models to amplify certain narratives.