GovAi.fm

AI isn't coming to BC — it's already here. I sit down with the Honourable Rick Glumac, BC's first Minister of State for AI and New Technologies, to talk about what that means and where it's headed. We get into how BC is supporting AI adoption across sectors — through programs like the Integrated Marketplace, work in healthcare, and Connected Services BC. We talk about digital sover...

Traditional software development is linear, slow, and heavily reliant on manual coding. What happens when AI agents take the wheel? Host Girish Limaye sits down with Andre Kaminski to unpack the realities of AI-Native Software Development. Moving past the hype of simple coding assistants like GitHub Copilot, Andre breaks down the exact framework required to build and manage truly AI-native organiz...

Most AI deployments have a blind spot. This episode is about finding yours. Host Girish Limaye sits down with Dr. Vered Shwartz, UBC Assistant Professor and Canada CIFAR AI Chair, for a frank, research-grounded conversation about the gap between AI hype and reality. From cultural blind spots (CulturalBench) to hallucinations and high-stakes AI in healthcare and regulatory contexts, this is what ev...

AI agents are evolving from simple task runners to autonomous systems that plan, act, and adapt. In this episode, we explore where they are today, where they’re headed, and what public and private sector leaders should be thinking about when it comes to transparency, control, and real-world use.

Everywhere you look, teams are chasing reliability in GenAI. The promised solution: RAG — Retrieval-Augmented Generation. Ground the model in your company’s data, and it’ll stop hallucinating… right? Not quite. As Hubert Duan, Principal at Microsoft AI, and I discuss — RAG introduces its own complexities: retrieval quality, data freshness, latency, and failure modes that only surface at scale. In...

If Part 1 set the stage (60 years · 5 tribes), Part 2 zooms in on the “connectionists” — the neural-network tribe that quietly persisted through AI winters and then reshaped the world. In this episode, Aman Sidhu (senior public-sector leader) and  Girish Limaye (AI consultant & educator), describe deep learning and its recent emergence in a story format — so it’s accessible to everyone and hel...

👉 Is AI just another productivity tool—or a complete disruptor of how we build? In this episode, Andre Kaminski and Girish Limaye unpack how AI is reshaping principles, teams, and the future of technology. What does building software look like in the age of AI? In this episode of GovAI.fm, Girish Limaye sits down with Andre Kaminski to explore how AI is reshaping teams, tools, and the very princi...

💡 Innovation isn’t about ideas—it’s about impact. Whether you’re launching something new, scaling a small program, or pushing change without a formal team, success comes from mastering the full life cycle: sparking ideas, choosing the right model, measuring what matters, and keeping momentum alive. In this GovAI.fm episode, Dr. Nan Xie shares lessons from leading award-winning smart city projects...

Sixty years. Five tribes. Countless breakthroughs and setbacks. If you want an intuition for where AI is headed, you first need to know where it came from. In Part 1 of The Story of AI, we uncover: ✅ The five “tribes” that shaped modern AI ✅ The surprising patterns hidden in decades of AI booms and busts ✅ How yesterday’s ideas quietly power today’s breakthroughs ✅ What history can teach us ab...

We kicked things off with a conversation between Aman Sidhu, senior public sector leader and Girish Limaye AI Consultant ✅ Why AI still feels confusing—and how to fix that ✅ Our personal journeys into AI (from early data days to deep learning revolutions) ✅ What public sector teams get right—and wrong—when starting with AI ✅ The importance of data foundations, human-in-the-loop design, and mov...

The Trust Layer for AI Projects with Dr. Curtis Northcutt, CEO & Co-founder of Cleanlab on the GovAI.fm podcast What if your AI could flag hallucinations before they launch? What if the same tech that finds hidden errors in benchmark datasets like MNIST can now catch LLM hallucinations, bias, and uncertainty—at scale? In this conversation, we explore: ✅ His journey from rural Kentucky to a Ph...