What Do Conspiracy Theories And AI Explainability Have In Common?

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by Kareem Saleh
May 4, 2021 · 1 minute
by: Kareem Saleh
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The answer: both suffer from a “truthiness” problem.

Truthiness is a term coined by Stephen Colbert to describe the tactic of weaving facts into a false narrative. Conspiracy theories like QAnon rely on truthiness, using individual data points to reach wild and untrue conclusions like ISIS was created by the CIA or a hidden Deep State runs the U.S. government. Like it or not, human beings are highly susceptible to truthiness: research indicates that 50% of Americans believe in at least one conspiracy theory.

The AI business also suffers from a “truthy” belief: that when black box algorithms are used to make high-stakes decisions—like who gets approved for a loan, a job interview, or even an organ transplant—the fact that we don’t know HOW these algorithms reach their decisions is not a problem so long as an AI developer can “explain” a model’s reasoning. 

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