Campbell Brown discussed the challenges of building reliable information systems during a StrictlyVC interview in San Francisco [1].
Brown's transition from a news anchor to a tech executive provides a unique perspective on the intersection of traditional journalism and artificial intelligence. As the founder and CEO of Forum AI, her work addresses the critical need for trustworthy AI to mitigate the spread of misinformation at scale.
During the 2026 event [1], Brown detailed her career trajectory, which includes serving as the head of news at Meta. This path from the newsroom to one of the world's largest social media platforms informs her current approach to developing AI tools that prioritize accuracy.
Brown said her focus with Forum AI is the creation of systems that can be trusted by the public. The discussion highlighted the ongoing struggle to maintain information integrity in an era where AI can generate content rapidly and convincingly.
The interview took place in San Francisco [2], a hub for AI development. Brown's insights reflect a broader industry shift toward integrating journalistic standards into the architecture of generative AI to prevent the proliferation of false data.
By leveraging her experience in both mass media and platform governance, Brown aims to bridge the gap between technical capability and ethical reporting. The conversation emphasized that the scale of current misinformation requires systemic solutions, rather than manual moderation alone.
“Campbell Brown discussed the challenges of building reliable information systems”
The shift of high-profile journalists into AI leadership roles suggests a growing recognition that technical solutions for misinformation must be paired with editorial rigor. Brown's work with Forum AI represents an attempt to institutionalize trust and verification within AI models, moving beyond simple content moderation toward systemic reliability.
