AI at the World Bank

Last registered on February 27, 2024
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Pre-Trial

Trial Information

General Information

Title
AI at the World Bank
RCT ID
AEARCTR-0012551
Initial registration date
November 27, 2023

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
December 06, 2023, 8:04 AM EST

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

Last updated
February 27, 2024, 5:02 PM EST

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

Locations

Country
United States of America
Region

Primary Investigator

Name
Andreas Stegmann
Affiliation
University of Warwick
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Other Primary Investigator(s)

PI Name
Mahvish Shaukat
PI Affiliation
World Bank
Contact Investigator
PI Name
Mattie Toma
PI Affiliation
Warwick Business School
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Additional Trial Information

Status
In development
Start date
2023-11-28
End date
2024-02-29
Keywords
Behavior, Governance
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project proposes a field experiment aimed at understanding how policy-makers engage with evidence on the productivity impacts of AI. We also posted a private pre-analysis plan which will be made public after the study has concluded.
External Link(s)

Registration Citation

Citation
Shaukat, Mahvish, Andreas Stegmann and Mattie Toma. 2024. "AI at the World Bank." AEA RCT Registry. February 27. https://doi.org/10.1257/rct.12551-2.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-11-28
Intervention End Date
2024-01-31

Primary Outcomes

Primary Outcomes (end points)
Attitudes towards AI.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We measure attitudes about the productivity effects of generative AI.
Experimental Design Details
Randomization Method
Randomisation done in office by a computer.
Randomization Unit
Division within the organization.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
We randomise across 511 divisions at the World Bank. The final sample size will depend on the final response rate.
Sample size: planned number of observations
The final number of observations depends on the final response rate.
Sample size (or number of clusters) by treatment arms
This also depends on the final response rates.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Humanities & Social Sciences Research Ethics Committee (HSSREC) at the University of Warwick
IRB Approval Date
2023-10-18
IRB Approval Number
HSSREC 193/22-23 AM02
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials