Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Models Learn Bias From Wikipedia Edit Wars
Wikipedia is the backbone of training data for many large language models. But behind those neutral-sounding articles are edit wars — heated battles between contributors with competing viewpoints. In this episode of AI Ethics with Fexingo, Lucas and Luna explore how the political and cultural biases embedded in Wikipedia's editing process get absorbed by AI models. They examine the 2025 controversy over the 'Israel-Palestine conflict' page, where algorithmic editing tools amplified majority viewpoints and suppressed minority corrections. They also look at how Wikipedia's 'neutral point of…
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