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Artificial Intelligence Governance: Building Trusted, Secure, and Responsible Organizations in the AI Era

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Artificial Intelligence Governance: Building Trusted, Secure, and Responsible Organizations in the AI Era

Autor: Dr. Phyl Ogoh
Czyta: KC Wayman
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Artificial Intelligence is transforming business, but who is governing it? Organizations worldwide are adopting AI to boost efficiency, drive innovation, and gain competitive advantage, yet many leaders deploy it without the governance needed to manage risk, ensure accountability, and earn stakeholder trust.In Artificial Intelligence Governance: Building Trusted, Secure, and Responsible Organizations in the AI Era, Dr. Phyl Ogoh gives executives, board members, cybersecurity and risk leaders, auditors, and policymakers a practical roadmap for governing AI responsibly while enabling innovation.At its heart is the TRUST Framework, an original enterprise governance model built on five principles: Transparency, Responsibility, Understanding, Security, and Trustworthiness. Drawing on deep experience in cybersecurity, risk, and compliance, Dr. Ogoh turns complex challenges into strategies you can act on immediately.You will learn to build a governance program from the ground up, align AI with business strategy and executive oversight, assess and mitigate risks before they become problems, establish committees and accountability structures, secure AI against cyber threats, govern third-party vendors, measure maturity with dashboards and KPIs, prepare for global regulations, and build a culture of responsible innovation.More than theory, this guide includes practical tools, governance templates, policy examples, risk registers, dashboards, model cards, checklists, and playbooks adaptable across industries.Whether you lead AI initiatives, oversee risk, or shape governance frameworks, this book gives you the knowledge, structure, and guidance to govern AI with confidence. Successful AI is measured not only by what it can do, but by how responsibly it is governed.©2026 Dr. Phyl Ogoh (P)2026 Dr. Phyl Ogoh Informatyka Polityka i rządy
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