Maintaining Control and Governance in AI Systems

Having control over AI systems is crucial to prevent disasters. Limiting knowledge creation and having visibility into system actions are wise approaches. Architecturally, addressing unknown variables is essential to mitigate risks. Hallucinations in AI can be minimized by loading correct data and building models effectively, enabling the identification and removal of outliers.