ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Evaluating algorithmic discrimination in insurance pricing and underwriting using correlation matrices and responsibility-gated fairness enforcement
Insurance AI systems can inherit historical bias from training data. Detecting discrimination requires more than demographic-parity checks, including analysis of indirect pathways between protected attributes and pricing features. This paper introduces a correlation-matrix-based fairness score to detect direct and proxy discrimination, paired with gate-based enforcement before decisions reach customers.
Using eigendecomposition of correlation matrices to identify conflicting objectives across business universes
When business universes optimize in opposing directions, organizations incur both direct conflict cost and wasted optimization effort. This paper develops a linear-algebra framework for detecting negative correlations using correlation matrices, eigendecomposition, and spectral analysis. Negative eigenvalues in inter-universe correlation structures identify conflict clusters that require governance intervention rather than additional local optimization.
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Complete list of all 121 published articles. EN / JA bilingual index.
121 articles
All articles reviewed and approved by the MARIA OS Editorial Pipeline.
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