One of the most important lessons I've learned while studying the AI Governance Professional (AIGP) Body of Knowledge is that AI governance is not about slowing innovation down.It's about enabling innovation responsibly.Too often, organizations frame AI adoption as a choice between innovation and governance, privacy and functionality, or speed and accountability.I believe these are false trade-offs.The Privacy by Design principle of "positive-sum, not zero-sum" reminds us that with thoughtful planning, organizations can achieve innovation, privacy, security, governance, and business value simultaneously.In this video, I share my reflections on:🔹 Why AI governance must begin long before deployment🔹 The growing importance of red teaming, testing, and AI incident response🔹 How AI is transforming data governance and privacy considerations🔹 Why third-party AI risk management matters more than ever🔹 The relevance of PIPEDA, ISO 42001, and the NIST AI Risk Management Framework in the Canadian contextMy biggest takeaway?The goal is not to choose between innovation, privacy, security, and accountability.The goal is to achieve all of them together.I'd love to hear your perspective:👉 What do you see as the biggest AI governance challenge facing organizations today?