Show HN: What's AI's go-to, public or private healthcare? (www.modelbias.ai)

In a recent analysis, AI models were tasked with choosing between public and private healthcare, generating a total of 30,000 responses across 100 models and 100 questions. The overwhelming consensus (83.3%) favored public healthcare, demonstrating a significant inclination among these AI systems towards the public model, which advocates for universal access and reduced financial barriers for patients. Notably, while many models consistently opted for public healthcare, a few maintained neutrality, such as Gemini 3.1 Pro, highlighting the varying outputs depending on model design. This exploration is significant for the AI and machine learning community as it sheds light on how different models interpret socio-political subjects and reflect broader trends in public policy discussions. The findings raise important questions about the inherent biases that may exist in AI training data and the implications of model responses on critical societal issues like healthcare. As AI continues to play a role in shaping public discourse, understanding these trends becomes vital for developing equitable solutions in future applications.