In the context of an experiment, we examine the persistence of aversion towards algorithms in relation to learning processes. The subjects of the experiment are asked to make one share price forecast (rising or falling) in each of 40 rounds. A forecasting computer (algorithm) is available to them which has a success rate of 70%. Intuitive forecasts made by the subjects usually lead to a significantly poorer success rate. Feedback provided after each round of forecasts and a clear financial incentive lead to the subjects becoming better able to estimate their own forecasting abilities. At the same time, their aversion to algorithms also decreases significantly.

中文翻译：

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通过经验减少算法厌恶

在实验的背景下，我们检查了对与学习过程相关的算法的厌恶的持久性。实验对象被要求在 40 轮的每一轮中做出一个股价预测（上涨或下跌）。他们可以使用预测计算机（算法），成功率为 70%。受试者做出的直观预测通常会导致成功率显着降低。每轮预测后提供的反馈和明确的经济激励使受试者能够更好地估计自己的预测能力。同时，他们对算法的厌恶感也明显下降。