Economic analysis reveals ambiguous employment effects across the workforce, suggesting prediction automation can either substitute or augment human decision-making.
Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when the automation of prediction leads to automating decisions versus enhancing decision-making by humans.
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Agrawal et al. (2019) studied this question.
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