Can AI Agents Simulate A/B Test Outcomes? A Validation Framework for Agentic Experimentation
A/B testing remains the standard for rolling out new features in the technology industry. Each experiment, however, consumes real traffic, engineering effort, and weeks of wall-clock time. Can AI agents---conditioned on behavioral profiles and contextual descriptions of the intervention---simulate outcomes accurately enough to vet candidate treatments before committing live traffic? We formalize this question as a \emph{Simulated Randomized Controlled Trial} (S-RCT) and derive a two-layer error
Record details
Published: 3 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 4 August 2026
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ethics.ai (3 August 2026), “Can AI Agents Simulate A/B Test Outcomes? A Validation Framework for Agentic Experimentation,” evidence record 16104, https://ethics.ai/record/16104 (originally published by arXiv cs.AI).
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