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Abstract The study measures why individuals are willing to pay (WTP) to see an explanation of an AI model’s prediction, distinguishing: (a) curiosity/consumption value, (b) sense of control when evaluating a prediction, and (c) instrumental value when participants hold private information that can be combined with an explanation to improve accuracy. This experiment documents a new context in which failures of contingent reasoning affect the valuation of information. The study measures why individuals are willing to pay (WTP) to see an explanation of an AI model’s prediction, distinguishing: (a) curiosity/consumption value, (b) sense of control when evaluating a prediction, and (c) instrumental value when participants hold private information that can be combined with an explanation to improve accuracy. This experiment documents a new context in which failures of contingent reasoning affect the valuation of information.
Last Published September 15, 2025 09:50 AM September 17, 2025 05:45 PM
Intervention (Public) Subjects have to make a prediction about whether a specific loan applicant repaid a loan. AI prediction was offered. We elicit subjects' willingness to pay for explanations for AI predictions using BDM. We vary timing of when the explanation can be seen (before or after decision), with or without private signal, and with or without tutorial on contingent reasonsing. Subjects have to make a prediction about whether a specific loan applicant repaid a loan. AI prediction was offered. We elicit subjects' willingness to pay for explanations for AI predictions using BDM. We vary timing of when the explanation can be seen (before or after decision), with or without private signal, and with or without tutorial on contingent reasonsing. (This is referred to as secondary experiment in AEARCTR-0015581, where we stated that we will separately pre-register this experiment. Similar bot-detecion techniques stated in AEARCTR-0015581 will apply here)
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