Algorithm Appreciation
Definition
Algorithm Appreciation is the tendency of laypeople and non-experts to trust and rely on advice or decisions more when they are labeled as coming from an algorithm rather than a human expert.
Real-world examples
Novice travelers are more likely to book a flight route recommended by an 'AI Routing Algorithm' than the exact same route suggested by an experienced human travel agent.
- People weight an identical numerical estimate more heavily when told it came from an algorithm — until they consider themselves experts on the task.
- Shoppers accept 'recommended for you' picks more readily when the suggestion is framed as data-driven.
How to design for it (nudge strategy)
Label automated insights and guidance as 'Algorithmic Recommendations' when targeting non-expert consumers, while highlighting human oversight to maintain emotional safety.
The evidence
Empirical findings linked to this bias are being added. Browse the findings database →
Key research
- Algorithm Appreciation: People Prefer Algorithmic to Human JudgmentJennifer M. Logg, Julia A. Minson, Don A. Moore · Organizational Behavior and Human Decision Processes (2019)
Related biases
Cite this page
Behavioral Economics Lab. "Algorithm Appreciation – Definition, Examples & Evidence." Behavioral Economics Lab, https://behavioraleconomicslab.com/biases/algorithm-appreciation.