Using Generative AI to Evaluate Bias in Speeches

Generative AI can be used to evaluate bias in speeches by analyzing the language and content for potentially discriminatory remarks. A custom prompt template was created using OpenAI's GPT-4 model, which identified a section of Harrison Butker's commencement speech as "misogynistic" due to its perpetuation of gender stereotypes. The LLM classified another section of the speech as "homophobic" after identifying derogatory comments and references to Pride Month. These results highlight the potential for generative AI to monitor and mitigate harmful language in various contexts, including online conversations, customer call centers, and public speeches.

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