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Last Published March 19, 2025 11:56 AM March 19, 2025 12:33 PM
Experimental Design (Public) I experimentally test how individual's preference for information regarding an AI is influenced by certain factors. I experimentally test how individual's preference for information regarding an AI is influenced by certain factors. (Full design attached and randomization flow attached in this pre-registration as pdf/docs before the experiment launch)
Planned Number of Observations 2,500 3,000
Sample size (or number of clusters) by treatment arms 500 for non-lender-aligned, 500 for lender-aligned for main arm. Same numbers for a variant of the main arm where race-gender descriptors for borrowers are replaced by odd/even number birth-day/month. 250 for non-lender-aligned, 250 for lender-aligned for an arm similar to main arm except that participants also have a choice to see the predicted default risk generated by AI or not. 2500 in total. 500 for non-lender-aligned, 500 for lender-aligned for main arm. Same numbers for a variant of the main arm where race-gender descriptors for borrowers are replaced by odd/even number birth-day/month. 250 for non-lender-aligned, 250 for lender-aligned for an arm similar to main arm except that participants also have a choice to see the predicted default risk generated by AI or not. Same numbers for a variant of the main arm where race-gender descriptors for borrowers are replaced by odd/even number birth-day/month. 3000 in total.
Secondary Outcomes (End Points) (3) Whether the participant want to allocate 90% of the loan to the low-risk borrower and 10% to the high-risk borrower, or 50% to each (3) Whether the participant want to allocate 90% of the loan to the low-risk borrower and 10% to the high-risk borrower, or 50% to each (4) How much, to reduce the second participant’s bonus at a personal cost of $0.01 per $1.00 reduction, up to the full $10 (3 scenarios -informed, not informed, chose not to be informed about explanation) - within subject
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