Practical Governance for Enterprise AI
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S&P Global published 'The AI Governance Challenge,' a special report arguing that enterprise AI governance must be principle- and risk-based, grounded in transparency, fairness, privacy, adaptability, and accountability. The report finds that many companies are only beginning to construct internal AI governance structures and highlights common framework elements including human oversight, ethical use, and safety. It references institutional examples such as IBM's AI ethics board as models for corporate governance design.