AI Governance Principles — Complete Guide for Indian Investors

AI governance principles are guidelines and controls for developing, deploying and monitoring AI responsibly, with appropriate transparency, fairness, privacy, security, accountability and human oversight.

AI governance helps financial services organizations manage risks associated with data, models, automated outputs, privacy, security, fairness and accountability.

Common principles include transparency, explainability, fairness, privacy, security, accountability, human oversight and continuous monitoring.

Human oversight means defining where qualified people review, challenge, approve or intervene in AI-supported processes based on the use case and its risks.

AI systems should be monitored for performance, data quality, unexpected behaviour, security risks and other material changes, with documented review and escalation processes.