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Papers

arxiv:2509.07054

Statistical Methods in Generative AI

Published on Sep 8

· Submitted by

Edgar Dobriban on Sep 11

Upvote

Authors:

Edgar Dobriban

Abstract

Statistical methods are reviewed for improving the reliability, quality, and efficiency of generative AI techniques, highlighting their applications and limitations.

AI-generated summary

Generative Artificial Intelligence is emerging as an important technology, promising to be transformative in many areas. At the same time, generative AI techniques are based on sampling from probabilistic models, and by default, they come with no guarantees about correctness, safety, fairness, or other properties. Statistical methods offer a promising potential approach to improve the reliability of generative AI techniques. In addition, statistical methods are also promising for improving the quality and efficiency of AI evaluation, as well as for designing interventions and experiments in AI. In this paper, we review some of the existing work on these topics, explaining both the general statistical techniques used, as well as their applications to generative AI. We also discuss limitations and potential future directions.

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