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Back to the lesson libraryMECHANISM · 13 MIN
M33.6 CONNECT THE MECHANISM

Give people useful control over model-assisted work

The assistant now writes replies to 800 emails a day, and two librarians check the risky ones. Work out which ones they can check, and why "approve" can quietly become a rubber stamp.

LESSON OVERVIEW13 min lesson

Lesson overview

The assistant now writes replies to 800 emails a day, and two librarians check the risky ones. Work out which ones they can check, and why "approve" can quietly become a rubber stamp.

What you’ll explore

  • Design human review for a model-assisted workflow, choosing a confidence threshold that fits review capacity, giving reviewers evidence and clear authority, guarding against automation bias, and turning corrections into feedback.
GO TO THE SOURCE

Original explanations, connected to the research.

Guidelines for Human-AI Interaction (Amershi et al., CHI 2019)Complacency and Bias in Human Use of Automation: An Attentional Integration (Parasuraman & Manzey, Human Factors, 2010)The ML Test Score (Breck et al., 2017)
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