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.
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?
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.
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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.
