Campbell Brown spent years navigating content moderation at Meta, and now she's watching AI companies face similar questions about who controls the information flow. Her main concern? The people building these systems aren't having the same conversation as the people using them.
Brown points out a growing gap between Silicon Valley's internal debates about AI curation and what everyday users are actually experiencing. While tech companies discuss technical approaches and business models, consumers are left wondering why their AI assistant gave them one answer instead of another.
This matters because AI tools are becoming the primary way many professionals find information and make decisions. If you're using ChatGPT for research or Claude for analysis, you're trusting an opaque system to filter and present information without knowing its criteria.
The transparency issue goes beyond individual queries. As AI assistants become more integrated into workflows, understanding their biases and limitations becomes critical for anyone relying on them for work. Brown's experience with content moderation at scale gives her a unique perspective on how these decisions play out.
The timing is significant. As AI companies rush to deploy new features and expand capabilities, questions about editorial control and information curation are getting more urgent, not less. Brown's pushing for these conversations to happen in public, not just in boardrooms.
For professionals using AI tools daily, this is a reminder to stay critical about the outputs you're getting. These systems make choices about what to show you, and right now, those choices aren't always visible or explainable.
