Algorithm appreciation: People prefer algorithmic to human judgment

web

2019·ScienceDirect(peer-reviewed)·sciencedirect.com/science/article/abs/pii/S0749597818303388

Authors

Jennifer M. Logg·Julia A. Minson·Don A. Moore

Credibility Rating

4/5

High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: ScienceDirect

A behavioral science paper relevant to AI safety discussions around automation bias and human oversight — understanding when humans over-trust or under-trust algorithmic systems is critical for designing safe AI deployment frameworks.

Metadata

Importance: 62/100journal articleprimary source

Summary

This paper challenges the 'algorithm aversion' literature by demonstrating that people often prefer algorithmic over human judgment, a phenomenon the authors term 'algorithm appreciation.' The study finds that when people have experience with algorithms or lack confidence in human judgment, they tend to trust algorithmic recommendations more. This has significant implications for understanding human-AI decision-making dynamics.

Key Points

•Introduces 'algorithm appreciation' as a counterpoint to the well-known 'algorithm aversion' phenomenon in behavioral research.
•People frequently prefer algorithmic judgment over human judgment, especially when humans are perceived as less reliable or biased.
•Trust in algorithms vs. humans depends heavily on context, task domain, and prior experience with algorithm performance.
•Findings suggest over-reliance on algorithmic systems may be as significant a concern as under-reliance (algorithm aversion).
•Relevant to AI deployment: both excessive trust and distrust in AI systems pose risks for safe human-AI collaboration.

Cited by 1 page

Page	Type	Quality
AI-Driven Institutional Decision Capture	Risk	73.0

Cached Content Preview

HTTP 200Fetched Mar 15, 202633 KB

[Skip to main content](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#screen-reader-main-content) [Skip to article](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#screen-reader-main-title)

- [Access through **your organization**](https://www.sciencedirect.com/user/institution/login?targetUrl=%2Fscience%2Farticle%2Fpii%2FS0749597818303388)
- [Purchase PDF](https://www.sciencedirect.com/getaccess/pii/S0749597818303388/purchase)

Search ScienceDirect

## Article preview

- [Abstract](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#preview-section-abstract)
- [Introduction](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#preview-section-introduction)
- [Section snippets](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#preview-section-snippets)
- [References (81)](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#preview-section-references)
- [Cited by (1196)](https://www.sciencedirect.com/science/article/abs/pii/S0749597818303388#preview-section-cited-by)

[![Elsevier](https://www.sciencedirect.com/us-east-1/prod/b6c2d116af306fbc9ccf93bf347b40c4a3d6482e/image/elsevier-non-solus.svg)](https://www.sciencedirect.com/journal/organizational-behavior-and-human-decision-processes "Go to Organizational Behavior and Human Decision Processes on ScienceDirect")

## [Organizational Behavior and Human Decision Processes](https://www.sciencedirect.com/journal/organizational-behavior-and-human-decision-processes "Go to Organizational Behavior and Human Decision Processes on ScienceDirect")

[Volume 151](https://www.sciencedirect.com/journal/organizational-behavior-and-human-decision-processes/vol/151/suppl/C "Go to table of contents for this volume/issue"), March 2019, Pages 90-103

[![Organizational Behavior and Human Decision Processes](https://ars.els-cdn.com/content/image/1-s2.0-S0749597819X00023-cov150h.gif)](https://www.sciencedirect.com/journal/organizational-behavior-and-human-decision-processes/vol/151/suppl/C)

# Algorithm appreciation: People prefer algorithmic to human judgment

Author links open overlay panelJennifer M.Logga, Julia A.Minsona, Don A.Mooreb

Show more

Add to Mendeley

Cite

[https://doi.org/10.1016/j.obhdp.2018.12.005](https://doi.org/10.1016/j.obhdp.2018.12.005 "Persistent link using digital object identifier") [Get rights and content](https://s100.copyright.com/AppDispatchServlet?publisherName=ELS&contentID=S0749597818303388&orderBeanReset=true)

## Highlights

- •
We challenge prevailing idea that people prefer human to algorithmic judgment.

- •
In head-to-head comparisons, people use algorithmic advice more than human advice.

- •
We compare usage of advice using the continuous weighting of advice (WOA) measure.

- •
People appreciate algorithmic advice despite blindness to algorithm’s process.

- •
Algorithm appreciation holds even as people underweight advice more generally.


## Abstrac

... (truncated, 33 KB total)

Resource ID: 1597b60a507bf25b | Stable ID: MjVhNWYyNz