Anticipating the Political Impacts of Artificial Intelligence: Experimental Evidence from Latin America

Last registered on September 15, 2024
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Pre-Trial

Trial Information

General Information

Title
Anticipating the Political Impacts of Artificial Intelligence: Experimental Evidence from Latin America
RCT ID
AEARCTR-0014211
Initial registration date
August 24, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
September 12, 2024, 4:27 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
September 15, 2024, 11:15 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Name
Yican Liu
Affiliation
The University of Hong Kong
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Other Primary Investigator(s)

PI Name
Yiming Cao
PI Affiliation
The University of Hong Kong
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PI Name
Guillermo Rosas
PI Affiliation
Washington University in St. Louis
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PI Name
Tian Chen
PI Affiliation
Washington University in St. Louis
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Additional Trial Information

Status
In development
Start date
2025-02-01
End date
2025-05-31
Keywords
Behavior, Governance, Other
Additional Keywords
Political preference, artificial intelligence, development economics, behavioral economics
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Artificial intelligence (AI) is often described as the fuel that will propel a fourth industrial revolution, but we are still learning whether its widespread adoption will be embraced by individuals or whether it will be met with fear and backlash. In this project, we use RCT to seek to understand the effects of AI adoption on political preferences.
External Link(s)

Registration Citation

Citation
Cao, Yiming et al. 2024. "Anticipating the Political Impacts of Artificial Intelligence: Experimental Evidence from Latin America." AEA RCT Registry. September 15. https://doi.org/10.1257/rct.14211-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2025-02-01
Intervention End Date
2025-05-31

Primary Outcomes

Primary Outcomes (end points)
Individuals' political attitudes, behaviors, and opinions
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We provide individuals with different AI tools and track their attitudes, opinions, and beliefs for several weeks.
Experimental Design Details
Not available
Randomization Method
The randomization is done in office by a computer. Before the treatment, we randomize the participants of our experiment into six groups based on the information provided in the prior survey. We provide different AI tools and news reports to the participants of different groups.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
8,000 individuals
Sample size: planned number of observations
8,000 individuals
Sample size (or number of clusters) by treatment arms
8,000 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Human Research Protection Office of Washington University in Saint Louis
IRB Approval Date
2024-02-15
IRB Approval Number
202308187
Analysis Plan