Our Articles
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The Law Says Credit Decisions Must Be Fair. Algorithms Make That Harder
Imagine you’re a woman with a strong credit history, steady income, and a spotless repayment record. You apply for a mortgage. The system flags you as higher risk than a comparably situated man. You’re denied, or you’re offered a worse rate. You ask why. The answer is simple: the algorithm decided. That should be a red flag.
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Your Zip Code Is Not Your Credit Score. Or Is It?
Imagine you’ve built something. A business, a life, a credit history. You apply for a loan with strong income, solid repayment habits, and a real plan. The algorithm says no. Not because you’re a woman. The model doesn’t even include gender as an input. It’s “gender-blind.” The bank will tell you so.
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When AI Quietly Undermines Women’s Credibility
AI is becoming an invisible referee of leadership credibility. It ranks who shows up as an “expert,” filters who looks “promotable,” and shapes which leaders appear trustworthy. The biases my research targets in Finance, Healthcare, and Education don’t just create friction, they quietly reshape life trajectories, constraining who is seen as credible, deserving of investment, and worthy of opportunity.