How AI Chatbots Are Learning Bias from User Feedback

AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence · Jul 19, 2026 · 10m

In this episode of AI Ethics with Fexingo, Lucas and Luna explore how reinforcement learning from human feedback (RLHF) can introduce subtle biases into language models. They dive into a real-world example from early 2026, when a major chatbot began refusing to answer questions about certain historical figures after receiving thousands of user flaggings — even when those flaggings were incorrect or politically motivated. The hosts explain how RLHF works, why crowd-sourced feedback amplifies majority viewpoints, and what companies like Anthropic and Google are doing to fix it. They also…