// public trust

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Flock's Failed AI Moderation Exposes the Verification Illusion

Roseville's experience with Flock's AI system—which misread 71% of traffic violations—exposes a gap between marketing claims and actual reliability. Vendors market "AI-powered" as equivalent to "AI-safe," but the systems often lack the robustness for high-stakes decisions. Organizations are outsourcing judgment calls (enforcement, access control, content moderation) to AI tools without demanding the validation standards that should apply to automated decision-making in public services. Procurement processes and governance structures have not kept pace with the difference between a statistical tool and a verified system.

Betting Markets on FDA Decisions Unsettle Medical Researchers

The emergence of regulated prediction markets like Kalshi and Polymarket has created a conflict-of-interest vector: financial incentives now shadow critical FDA approval decisions. If researchers or their institutions can profit from specific regulatory outcomes, the separation between objective science and market speculation erodes. Researchers may face pressure to alter trial design, data interpretation, or publication decisions to move market prices. Regulators and medical bodies have largely treated prediction markets as neutral information aggregators rather than active financial actors with real consequences for institutional behavior.