Trust, data, and responsible AI | Ep. 7

"Will Copilot read my emails?" "Where does our data actually go?" "What if it gets something wrong?" If you can't answer these in plain language, adoption stalls — quietly, and at scale. Episode 7 of the Microsoft AI Adoption Accelerator is about building the trust layer that makes Copilot stick: data boundaries, responsible AI principles, and the governance that earns confidence instead of blocking work. In this episode: 🔐 The trust questions every employee is asking — and how to answer them clearly 📂 The oversharing problem — why SharePoint permissions become an AI problem overnight 🛡️ Microsoft Purview, sensitivity labels, and the "clean before Copilot" reality ⚖️ Microsoft's Responsible AI principles — translated into things people actually do 👥 Roles and responsibilities — IT, security, legal, HR, and the business 🧭 The governance model that enables adoption instead of slowing it down ⚠️ Three trust traps that quietly erode confidence — and how to spot them early Who this is for: IT leaders, security and compliance teams, data governance owners, change managers, and anyone responsible for making Copilot safe and usable. 📺 Series playlist: Microsoft AI Adoption Accelerator — 10 episodes 🔔 Subscribe for the rest of the series Chapters 00:00 Why trust is the real adoption blocker 01:15 The questions employees are actually asking 02:45 The oversharing problem 04:30 Purview, labels, and "clean before Copilot" 06:30 Responsible AI principles in practice 08:30 Governance that enables, not blocks 10:30 Three trust traps 12:00 Your week-one action #MicrosoftCopilot #ResponsibleAI #AIAdoption #DataGovernance #MicrosoftPurview #Microsoft365 #AISecurity #DigitalTransformation