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Amazon security VP argues human-in-the-loop AI oversight fails due to human inconsistency

By

Ana Maria Constantin

16d ago· 4 min readenNews

Summary

Amazon's VP of Security, Eric Brandwine, argues that human-in-the-loop AI oversight is ineffective because humans are inconsistent and prone to "normalization of deviance" — a phenomenon where people gradually accept lower standards over time. He suggests that relying on humans to catch AI errors is flawed, as human attention and vigilance naturally degrade, making the widely accepted governance principle less reliable than commonly believed.

Source

bskyAmazon security VP argues human-in-the-loop AI oversight fails due to human inconsistencythenextweb.com

Key quotes

· 3 pulled
Humans are not terribly consistent
Human-in-the-loop isn't necessarily the gold standard
Normalization of deviance describes what happens when people gradually accept lower standards over time
Snippet from the RSS feed
Amazon’s security leadership is arguing against one of the most widely accepted principles in AI governance. Eric Brandwine, VP and distinguished engineer at Amazon Security, told The Register that human-in-the-loop oversight is not the gold standard comp

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