AI RESEARCH
Optimizing Social Utility in Sequential Experiments
arXiv CS.LG
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ArXi:2605.06520v1 Announce Type: cross Regulatory approval of products in high-stakes domains such as drug development requires statistical evidence of safety and efficacy through large-scale randomized controlled trials. However, the high financial cost of these trials may deter developers who lack absolute certainty in their product's efficacy, ultimately stifling the development of `moonshot' products that could offer high social utility. To address this inefficiency, in this paper, we