Optimizing to Remove Political Bias from AI Models Removes Other Types of Bias Too
Optimizing AI models to reduce political bias can also reduce other forms of systemic bias, making responses more aligned with real-world distributions across domains like climate, education, and energy. This cross-domain correction suggests that even targeted optimizations, when properly applied, can generalize to improve overall model realism and reduce misleading consensus in AI outputs.