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Engleski
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Artificial Intelligence is no longer just assisting enterprises.
It is beginning to:
• Decide
• Optimize
• Execute
• Act autonomously at scale
But while AI capability has accelerated rapidly, one critical question remains unanswered:
Who controls intelligent systems once they begin making decisions on their own?
Enterprise AI Control introduces a practical framework for building:
• Controlled AI systems
• Runtime governance
• Decision boundaries
• Accountable automation
• Trusted enterprise intelligence
This book moves beyond theoretical AI ethics and explores how organizations can operationalize:
✔ AI governance
✔ guardrails & enforcement
✔ observability & auditability
✔ escalation mechanisms
✔ AI control maturity models
✔ autonomous decision oversight
Designed for:
• CTOs
• CIOs
• AI leaders
• Consultants
• Enterprise architects
• Governance & risk teams
This book provides a blueprint for governing AI systems at enterprise scale.
Because the future will not belong to organizations with the most AI... but to those with the most controlled AI
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