Why it is becoming increasingly important to have clarity on the definition of “algorithm”
Synopsis
As policymakers begin to develop standards for assessing and auditing algorithms, they must first define the class of decision-making or decision support tools to which their policies will apply. Leaving the term “algorithm” open to interpretation could place some of the models with the biggest impact beyond the reach of policies designed to ensure that such systems don’t hurt people.
By Kristian Lum and Rumman ChowdhuryDescribing a decision-making system as an “algorithm” is often a way to deflect accountability for human decisions. For many, the term implies a set of rules based objectively on empirical evidence or data. It also suggests a system that is highly complex—perhaps so complex that a human would struggle to understand its inner workings or anticipate its behavior when deployed.But is this characterization
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