The authors formalize a mechanism for collecting and aggregating public reports about deployed AI systems, aiming to surface unknown harms and enable accountability.
A Bureaucratic Theory of Statistics
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abstract
This commentary proposes a framework for understanding the role of statistics in policy-making, regulation, and bureaucratic systems. I introduce the concept of "ex ante policy," describing statistical rules and procedures designed before data collection to govern future actions. Through examining examples, particularly clinical trials, I explore how ex ante policy serves as a calculus of bureaucracy, providing numerical foundations for governance through clear, transparent rules. The ex ante frame obviates heated debates about inferential interpretations of probability and statistical tests, p-values, and rituals. I conclude by calling for a deeper appreciation of statistics' bureaucratic function and suggesting new directions for research in policy-oriented statistical methodology.
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2025 1verdicts
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Aggregated Individual Reporting for Post-Deployment Evaluation
The authors formalize a mechanism for collecting and aggregating public reports about deployed AI systems, aiming to surface unknown harms and enable accountability.