Campbell Brown on who decides what AI tells you

Campbell Brown points to a fundamental disconnect: when technology companies discuss AI and information, they are talking about one thing, while consumers care about something entirely different.

Silicon Valley vs. Consumers

In Silicon Valley, the discussion is focused on AI system architecture, algorithm transparency, and scientific approaches to fairness. Companies talk about how models are built, what data was used, how to minimize biases in results, and how to ensure alignment between developer intentions and system behavior. Consumers, meanwhile, are focused on an entirely different question. They are not interested in the technical details of how AI works. They are concerned with control and trust in the simplest sense: who decides what information I see? When I write a prompt to ChatGPT or Claude, who determines the boundaries of the response? What invisible rules govern what I will get in return?

"The conversation in

Silicon Valley is about one thing, while a completely different conversation is happening among consumers"

This quote captures the essence of the problem. The two sides are speaking different languages and about different issues.

Information Control — the Main Question

According to Brown, the core of the problem is that the question of information control remains unresolved. When editorial offices controlled information, it was explicit — editors chose what to publish, and they could be criticized or sued. The rules were relatively open. Now, AI companies are taking on the role of information gatekeepers, but with far less transparency. Consumers see the result, but they don't see the logic.

Brown highlights several key problems:

• AI systems don't simply provide data — they actively choose what to show and how to formulate it
• The selection criteria often remain in a black box even for the companies themselves
• Consumers don't know and cannot discover why they see one thing instead of another
• Responsibility is blurred between the company, engineers, and the algorithm

Where Does This Gap Come From

Brown points to a deep cultural divide. Technologists think about how to build, consumers think about how to control. When a company says "we have safeguards and security layers," a consumer hears: "you're filtering what I see, and I can't influence that filter." This is an especially acute question in the context of news, politics, and elections — areas where information control has direct and visible consequences for society.

What This Means

Brown points to the absence of genuine dialogue. Silicon Valley is solving one problem: how to improve AI, make it safer and more honest. Consumers are solving a different problem: how to regain control and understand the logic. As long as these conversations happen in parallel, neither side will hear the other.