Survey will open in a new window or redirect momentarily, please keep this tab open! If the survey does not open, please enable popups and refresh the page.

Status:

Dismiss

AI sycophnacy and decision-making

Study ID sspp-2026-0009-v1

General Details

Project AI sycophancy and decision-making
Study ID sspp-2026-0009-v1
Study Title AI sycophnacy and decision-making
Authors John Conlon, Peter Schwardmann
Completion Time 15 Minutes
Close Date (UTC) April 15, 2026
Discipline Economics
Field Behavioral Economics
Country Online (limited countries)
Abstract
Prediction survey on the polarizing or depolarizing effect of AI use on decision-making.

Incentive Details

Incentive Type Based on forecast accuracy
Calculation Method Discrete: Fixed payment if forecast is within bounds
Recipient Pool Incentives are lottery-based
Lottery Percentage 2.0%




Citation
Conlon, John, and Peter Schwardmann. 2026. "AI sycophnacy and decision-making." Social Science Prediction Platform. April 9. https://socialscienceprediction.org/s/xe26x6