
đ Episode Summary:
Welcome back to Wired to Build, a data-driven, technology-focused podcast digging into how building owners and operators use technology to manage the full lifecycle of their projects.
In Part 2 of our conversation with â Jamie Lynn Cookeâ , we move beyond AI hype and dig into what responsible implementation actually looks like. We unpack the differences between procedural software and probabilistic AI, break down high-risk use cases, and explore how to balance autonomy and oversight in capital project environments.
From Air Canada's now-famous chatbot lawsuit to jobsite automation risks, this episode is a must-listen for anyone serious about integrating AI while protecting people, brand, and bottom line.
If Part 1 was the why, this is the how.
đ§ Key Takeaways:
AI â Traditional Code: AI doesn't repeat exact outcomes. Understanding the difference between procedural and probabilistic systems is essential.
Governance is Risk Strategy: Good governance isn't red tapeâit's how you decide where you're willing to fail.
Real-World Risk Examples: Air Canadaâs chatbot cost them in court. The lesson? If your logo is on it, you own it.
Human-in-the-Loop vs Human-on-the-Loop: Knowing the right level of oversight is key to safe AI augmentation.
Not All Productivity Is Equal: Gains that cause rework or liability later arenât productivity wins.
Cautious Optimism > Blind Adoption: Move fast with purpose, not without a plan.
đŁď¸ Shareable Quotes:
âAI doesnât fail like humansâit fails confidently. Thatâs the danger.â â Jamie Lynn Cooke
âGovernance isnât red tape. Itâs how you decide where youâre willing to fail.â â Nick Caravella
âIf your logo is on the AI, youâre liable for what it says.â â Jamie Lynn Cooke
âCautious optimism doesnât mean moving slowlyâit means moving with discipline.â â Nick Caravella
âYou canât sue an algorithmâbut you can sue the company behind it.â â Jamie Lynn Cooke
đLinks to reference for more: