Algorithm Aversion Explained
Research shows that algorithms, when trained on quality data, often outperform human forecasters. Despite this, people tend to prefer human predictions due to a cognitive bias known as algorithm aversion. This bias leads to a quicker loss of confidence in algorithms after mistakes, even when they have proven to be more accurate. Understanding and addressing this bias can help in trusting algorithmic forecasts more effectively.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 484: Algorithm Aversion — with Jon Krohn
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