Campbell Brown, former Meta news chief, is weighing in on a critical gap: Silicon Valley and everyday consumers are having completely different conversations about who decides what AI shows them.
Brown's observation highlights a fundamental disconnect in how AI transparency is being discussed. Tech companies debate algorithmic fairness in boardrooms and conference rooms, while the public remains largely unaware of the mechanics determining their information diet.
The issue cuts deeper than algorithm tweaks. As AI systems increasingly mediate access to news and information, the question of editorial control becomes urgent. Who sets the priorities? What biases get baked in? How much disclosure is enough?
Brown's vantage point—having navigated Facebook's relationship with publishers and media—gives weight to her concern. She's seen how platform decisions ripple through the information ecosystem.
The gap Brown identifies suggests the tech industry may be solving the wrong problems. Conversations about AI governance need to move beyond Silicon Valley and include the people most affected: users who rely on AI to understand the world.
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