Disclaimer: The following podcast episode features AI-generated voices. While AI technology is rapidly advancing, it's important to remember that AI can sometimes make mistakes or present information that is inaccurate or incomplete.
Join us as we delve into the fascinating world of AI fairness with a focus on "first-person fairness" in chatbots. Ever wondered if your name could influence how a chatbot responds to you? We explore the potential for "user name bias" in popular AI like ChatGPT, where seemingly harmless details like your name might reveal your gender or race, leading to subtle or even harmful differences in the AI's responses.
In this episode, we break down complex research using easy-to-understand language, and our AI-generated hosts, will guide you through:

The concept of first-person fairness: Why should a chatbot treat you differently based on who you are?


How chatbots learn your name: From direct requests to clever memory tricks, we uncover the ways AI gathers information about you.


Cutting-edge research methods: Discover how scientists are using "counterfactual analysis" and a "Language Model Research Assistant" to expose hidden biases.


Shocking findings: Are chatbots more likely to perpetuate stereotypes about certain genders or races? We reveal the surprising results.


The limitations of current research: What are the challenges in studying AI bias, and what questions remain unanswered?

Tune in to learn about the future of ethical AI and how researchers are working to ensure chatbots treat everyone fairly, regardless of their name.
Evaluating Fairness in ChatGPT full article

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