Automation bias: Difference between revisions

Automation bias (view source)

426 bytes removed , 27 February 2023

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 ===Combining machine learning with human judgment===
 In certain instances, combining the output of a machine learning algorithm with human judgment can help mitigate automation bias. Doing this helps guarantee that all output is thoroughly reviewed and any potential errors or biases identified.
-==Explain Like I'm 5 (ELI5)==
-Automation bias occurs when people put too much faith in machines without verifying if their results are correct or incorrect. This can be especially problematic in areas like healthcare, finance and transportation. To combat this issue we can educate people about how machines operate, motivate them to think carefully about their output and sometimes have humans double-check it for accuracy.
 ==Explain Like I'm 5 (ELI5)==