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Back to the lesson libraryPERSPECTIVE · 12 MIN
M29.1 CONNECT THE MECHANISM

Decide whose problem the system solves and who bears its errors

A hospital buys a tool that writes nurse rosters. Finance loves it; the night shift doesn't. Learn to map who gains, who carries the risk, and when to hold back.

LESSON OVERVIEW12 min lesson

Lesson overview

A hospital buys a tool that writes nurse rosters. Finance loves it; the night shift doesn't. Learn to map who gains, who carries the risk, and when to hold back.

What you’ll explore

  • AI deployment decisions should connect objectives, affected stakeholders, error consequences, human agency, and viable alternatives before optimizing a model score.
GO TO THE SOURCE

Original explanations, connected to the research.

NIST AI Risk Management Framework (AI RMF 1.0, January 2023)Model Cards for Model Reporting (Mitchell et al., 2019)External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients (Wong et al., JAMA Internal Medicine, 2021)Moffatt v. Air Canada, 2024 BCCRT 149 (Civil Resolution Tribunal of British Columbia)
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