Executive Summary Seven AI systems analyzed the same problem. Three flagships judged each other. Each one quietly crowned itself the best. That pattern, which this article terms Algorithmic Narcissism, shows why single-AI reliance is not just a technology decision but a governance exposure. It bakes bias and blind spots into strategy with no detection mechanism. […]
Claude
The Case for AI Provider Plurality in Evidence-Based Research
This white paper by Basil C. Puglisi tests whether multi-AI provider plurality, with human arbitration, can correct the WEIRD bias that AI inherits from its training data. Family structure and the division of caregiving and earning serve as the test case. ChatGPT refused to engage the evidence, Perplexity researched it, and Claude confirmed the synthesis.

