# About This Note: --- It seems that we often forget that the structure of the digital spaces we inhabit actually shape our behaviour and our options. While this has been the case for quite some time and has been talked about at length by folks more qualified than myself. However, as [[Atlas/Notes/Ideas/AI]] has entered so many new areas of our lives and work, there's been new opportunities to see this pattern play out. I noticed this and called it out when LinkedIn [changed one of its policies to allow for AI scraping of content from the site](https://tuta.com/blog/linkedin-ai-user-data). In this space that allows for a cleaner breakdown of what that means I've taken my initial post and made it a bit more appropriate for this space, and I'll keep adding as I find other good instances where this pattern shows up. --- ## What LinkedIn's Policy Revealed --- The LinkedIn AI training policy exposed something deeper than privacy settings: how default decisions [[Default Decisions - Architecture Shapes Behaviour|shape]] professional data governance at scale. ## The Pattern Most platforms structure choices this way: - Default = company's preference - Opt-out = user must know to look - Limited notice - Reactive enforcement after implementation This isn't an accident, it's architecture as policy. LinkedIn and every other big platform pays people lots of money to design this way on purpose. --- ## Three Gaps This Exposes **1. Default decisions shape digital life** Platforms update regularly. Defaults rarely align with user preferences. Most people never change settings. **2. Professional data has strategic value** LinkedIn isn't social media—it's career infrastructure. Data trains AI systems that influence: - How algorithms match people to opportunities - What insights AI generates about industries - How Canadian networks get represented in global datasets **3. Governance gaps affect everyone** No federal AI legislation. Individuals navigate complex settings alone. Enforcement catches up after data's already in use. > [!NOTE] What This Suggests The LinkedIn case shows governance happening through UX design, not just policy. ## Open Question What would professional data governance look like if designed for user sovereignty rather than platform convenience? ---