A taxonomy of AI experiments

We introduce a taxonomy of artificial intelligence (AI) experiments. Our taxonomy produces four types of AI experiments: conceptual AI experiments, stylized AI experiments, quasi-natural AI experiments, and natural AI experiments. At the core of our taxonomy is the sophistication of AI used, which we evaluate using a simple and robust proxy test of whether AI is developed exclusively for a research study. We discuss the advantages, disadvantages, and best use cases for each type and illustrate the use of each type in various examples. We provide a guide on how to choose the type of AI experiment that best fits a given research question.

Subjects

Artificial intelligence

Automation

Economic experiments

Experimental design

DDC Class

006.3: Artificial Intelligence

519: Applied Mathematics, Probabilities

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Name

1-s2.0-S2214804326000170-main.pdf

Size

1.24 MB

Format

Adobe PDF

Options

A taxonomy of AI experiments