Chapter 16Knowing when not to
Who should decide?
Before you hand a task to AI, ask who it affects, what a mistake would cost them, and whether you could explain the decision yourself.
- Who is affected? You, a customer, a student, an employee?
- What would a mistake cost them? An awkward email, or a job, a grade, a diagnosis?
- Could you explain the decision without pointing at the tool?
- Would you tell them AI was involved? If not, ask yourself why not.
Check in
Try answering in your own words, then open each one to compare.
Which decisions should stay with a person?
Decisions about people’s jobs, grades, health or rights, where someone has to answer for the outcome and explain it.
What is automation bias?
The habit of trusting an automated aid too much, and missing its mistakes.
One chapter left: short answers to the questions people ask most. On to Chapter 17: Questions people ask →
Notes (2)
- 1European Parliament and Council of the European Union, “Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending … (Artificial Intelligence Act),” Official Journal of the European Union, L series, June 13, 2024, http://data.europa.eu/eli/reg/2024/1689/oj (accessed October 27, 2026). Cited at Annex III; point 4; point 3.
- 2Raja Parasuraman and Dietrich H. Manzey, “Complacency and Bias in Human Use of Automation: An Attentional Integration,” Human Factors 52, no. 3 (June 2010): 381–410, https://doi.org/10.1177/0018720810376055. Cited at p. 381.
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