What modern bias involves researchers over-relying on algorithmic output, treating it as inherently superior to human judgment?

Answer

Automation bias

Automation bias in research occurs when researchers develop an over-reliance on the output of complex algorithms or machine learning models, assuming the result is superior, which can mask input errors like subtle systemic errors in the initial data pool.

What modern bias involves researchers over-relying on algorithmic output, treating it as inherently superior to human judgment?
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