Trustmarque finds 93% of UK firms use AI without full governance
A new framework argues enterprise AI teams must embed governance into every stage of model development, not treat it as a final compliance check. The Trustmarque AI Governance Index found that 93% of UK organizations use AI, but only 8% have fully integrated governance into their software development life cycle. This gap arises when compliance is treated as an afterthought rather than a core…
Key points
- Trustmarque’s index shows 93% of UK firms use AI but only 8% embed governance into development
- Framework recommends privacy checks in feature engineering, explainable models, and automated MLops compliance
- Article cites 2025 AI Index Report: 78% of firms adopted AI in 2024, up from 55% in 2023
The piece outlines three key steps: privacy-first feature engineering (removing or transforming sensitive data before training), explainable-by-design modeling (choosing interpretable models or using tools like SHAP/LIME), and automated governance in MLops (continuous bias checks and fairness validations). Without these steps, teams risk deploying models that fail regulatory scrutiny or erode public trust, the article warns. The Stanford University 2025 AI Index Report is cited to show AI’s rapid adoption—78% of firms used it in 2024, up from 55% in 2023—but notes that 81% of Americans remain uncomfortable with how firms use their personal data.
Bridging Algorithmic Design and Regulatory Standards in Enterprise AI
KDnuggets · 8 October 2026
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