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Finance sector speeds up AI adoption; key is information trust, not performance

The financial sector’s debate over artificial intelligence risk is expanding beyond a race for model performance to reliable information and accountability structures. Financial institutions are applying AI across lending, fraud detection, compliance and other operations, but systems can weaken in real use if they misrepresent core internal information. A proposed “sense-core-driver” framework stresses verified, up-to-date and traceable data representations before inference, and clearer controls as AI agents gain authority.