This piece critiques the government's AI-driven public service overhaul by highlighting the growing pressure on human reviewers in the 'human in the loop' model, exposing risks of burnout, quality degradation, and ethical failure due to unbalanced AI workloads and inadequate real
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How this topic has been named, week by week. A new alias winning out is usually a framing shift.
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risk of false information in ai outputs
‘Like drinking from a firehose’ – what it’s like to be the human in the AI loopSpotted something wrong on this page? Report a correction.