Why AI Governance Has Become an Executive Imperative?
🚨 AI Value Without Governance Is Executive Risk 🚨
Artificial intelligence promises transformational value; but without systematic governance, it creates material operational, legal, and reputational risk.
Recent AI governance failures have resulted in financial harm, wrongful enforcement actions, loss of public trust, and government-level consequences across multiple jurisdictions. These failures were not caused by malicious intent or poor technology, but by the absence of governance frameworks capable of challenging assumptions, detecting risk early, and preventing harm before escalation.
As AI becomes embedded in decision-making, governance is no longer a technical afterthought. It is a leadership responsibility that determines whether AI delivers value, or creates exposure.
Dr. Darryl Carlton brings over 4 decades of global technology leadership and AI governance expertise to this executive program. His unique combination of hands-on implementation experience, academic rigor, and board-level advisory work positions him as a trusted authority in translating AI governance into operational reality.
He holds dual doctoral qualifications; a PhD in Business Information Systems and a PhD in Law; and is the author of seven influential books on AI and cybersecurity governance. His work is widely used by organizations responsible for accountable and defensible AI deployment. Over a 45+ year career, Dr. Carlton has held senior roles at Accenture, Gartner, Telstra, Optus, and the Victorian Department of Justice, leading complex transformations and enterprise governance initiatives across public and private sectors. He also founded the world’s first SaaS ERP company and holds US patents for internet-delivered applications.
Today, as an AI Governance Director, he advises boards, governments, and enterprises across Australia, New Zealand, Singapore, the UK, the US, and Europe. Known for his direct, pragmatic approach, his programs focus on real-world failures, regulatory insight, and hands-on implementation, ensuring participants leave with practical tools and an executable AI governance roadmap.