← Computer Science & AI levels

Computer Science & AI · Level 1 · Foundation

The extent of algorithm aversion in decision-making situations with varying gravity

Filiz I, Judek JR, Lorenz M, et al. (2023). PLOS ONE. doi:10.1371/journal.pone.0278751 · CC BY 4.0

Step 1 of 2Read the paper

Do people avoid a computer program even when it is clearly more reliable than a human, and does that depend on how serious the decision is? University students each read one of six scenarios (from self-driving taxis to recipe boxes) in which an algorithm succeeded 70% of the time and a human expert 60%, and chose which one to trust for a small cash reward.

Read the paper below Free to read · the full paper is on this page

How to read it

  • In Methods, note the 70% vs 60% success rates and why choosing the human counts as algorithm aversion.
  • Find the three numbered hypotheses and check, in Results, whether each was supported.
  • Table 3 gives how serious each scenario felt; Table 6 gives who chose the algorithm in each one.
  • Read the Limitations section: what else differs between the six scenarios apart from seriousness?
Full paperCC BY 4.0 · shown here under its open licenceOpen PDF (opens in a new tab)Original publisher page (opens in a new tab)
The paper loads when you scroll here…

Step 2 of 2Take the test

5 questions · about 30 minutes including reading · pick an answer to see straight away if it’s right. Nothing is saved.

Loading progress…

Paper: Filiz I, Judek JR, Lorenz M, et al., PLOS ONE (2023), licensed CC BY 4.0. Summary and questions are Research Nest’s own; read the original for the full study.

Research Nest · Keep learning

Save your place in the nest.

Create a free account to save your lessons and quiz progress. You can also keep exploring without signing in.

Checking your account…

New here? Sign up for free