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Workers spend over 6 hours weekly managing AI outputs

White-collar professionals are reportedly spending an average of 6.4 hours per week on "botsitting" AI tools. This involves tasks such as providing context, verifying outputs, and correcting errors, which are necessary to make AI effectively useful. The term "botsitting" highlights the often-unseen human labor involved in managing AI systems in the workplace. AI

IMPACT Highlights the hidden labor costs and potential inefficiencies of current AI tools, suggesting a need for more autonomous and reliable AI systems.

RANK_REASON Article discusses a reported phenomenon of AI 'botsitting' without presenting new research or a specific product launch.

Read on Mastodon — sigmoid.social →

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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    "AI is supposed to save workers time. Instead, some employees report spending hours every week cleaning up after it. White-collar workers spend an average of 6.

    "AI is supposed to save workers time. Instead, some employees report spending hours every week cleaning up after it. White-collar workers spend an average of 6.4 hours a week 'botsitting' AI — feeding it context, checking outputs, debugging mistakes, and cleaning up errors. The t…