Researchers have developed an artificial intelligence algorithm that can evaluate the decision-making abilities of experts such as doctors and engineers. Maytal Saar-Tsechansky, a professor at Texas McCombs, along with her colleagues Wanxue Dong and Tomer Geva of Tel Aviv University, created the machine learning algorithm called MDE-HYB. This technology integrates two forms of information to assess the quality of an expert's past decisions and can be used to monitor their accuracy over time. The algorithm was tested on various datasets, including sales tax audits, spam, and online movie reviews, and outperformed other algorithms and human reviewers in evaluating expert decision-making. Saar-Tsechansky hopes that this technology can one day help consumers choose service providers such as doctors and assist managers and regulators in monitoring expert workers' accuracy. The research has been published in Management Science and highlights the potential of artificial intelligence in improving decision-making in various professions.
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