Disparate Interactions: An Algorithms-in-the-loop Analysis of Fairness in Risk Assessment | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=NSObVsEiH7s


Duration: 54:11
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For slides and more information on the paper, visit https://ai.science/e/disparate-interactions-an-algorithms-in-the-loop-analysis-of-fairness-in-risk-assessment--d8yxvitwklAKr9YzxHJa

Host: Somaieh Nikpoor; Speaker: Ben Green

Motivation:
"Despite vigorous debates about the technical characteristics of risk assessments being deployed in the U.S. criminal justice system, remarkably little research has studied how these tools a!ect actual decision-making processes. After all, risk assessments do not make
definitive decisions—they inform judges, who are the final arbiters. It is therefore essential that considerations of risk assessments be informed by rigorous studies of how judges actually interpret and use them. This paper takes a first step toward such research on human interactions with risk assessments through a controlled experimental study on Amazon Mechanical Turk.



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