Who's in Charge? The 4 Key Pillars of AI Governance in 2026
ManageEngine Blog

Who's in Charge? The 4 Key Pillars of AI Governance in 2026


Summary

As AI becomes deeply integrated into IT service management, organizations face significant operational and ethical risks because current governance frameworks have failed to keep pace with the technology. To ensure safe and effective implementation, businesses must adopt a strategy centered on four key pillars: ethical use and bias mitigation, transparency and explainability, clear accountability and ownership, and robust data privacy and security.
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