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Field
Primary Outcomes (Explanation)
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Before
With the notification of IAT scores, higher incentives/penalties, and the help of ChatGPT, the bias is expected to be smaller compared to the control group. The bias can be calculated by observing whether the same portfolios are approved more often, having more accurate decisions, following ChatGPT's decisions more frequently, and analyzing the types of questions they ask ChatGPT, all by comparing different names of portfolios suggesting gender.
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After
With the notification of IAT scores, higher incentives/penalties, and the help of ChatGPT, the bias is expected to be smaller compared to the control group. Then, the existence is the main outcome. Also, whether participants follow AI's decisions or not explains how the AI-assisted decision making can reduce the bias.
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