Incentives for Creative Production: Assessing the Marginal Contribution of Artificial Intelligence.

Last registered on June 24, 2024
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Pre-Trial

Trial Information

General Information

Title
Incentives for Creative Production: Assessing the Marginal Contribution of Artificial Intelligence.
RCT ID
AEARCTR-0013751
Initial registration date
June 05, 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
June 24, 2024, 12:15 PM EDT

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

Locations

Country
United Kingdom of Great Britain and Northern Ireland
Region

Primary Investigator

Name
Isleide Zissimos
Affiliation
Department of Economics, University of Warwick
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Andreas Markoulakis
PI Affiliation
Department of Economics, University of Warwick
Contact Investigator
PI Name
Ulisses Maeda
PI Affiliation
Independent Researcher

Additional Trial Information

Status
In development
Start date
2024-05-16
End date
2024-10-31
Keywords
Behavior, Lab, Labor
Additional Keywords
artificial intelligence, creative production, incentives
JEL code(s)
C91, D03, D81, M52, M55, O39
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This research project aims to investigate experimentally the dynamic interaction between human creative skills and generative Artificial Intelligence (AI). We focus on understanding whether the interaction between AI and human creative skills either complement each other, thereby enhancing the quality of creative outputs, or if it poses a risk to originality and the overall quality of creative outputs. Central to our study is the elicitation of information to help us understand the AI’s marginal contribution to the quality of on an individual’s written text, measured by originality, grammatical accuracy, and engagement with a question.
External Link(s)

Registration Citation

Citation
Maeda, Ulisses, Andreas Markoulakis and Isleide Zissimos. 2024. "Incentives for Creative Production: Assessing the Marginal Contribution of Artificial Intelligence.." AEA RCT Registry. June 24. https://doi.org/10.1257/rct.13751-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-05-16
Intervention End Date
2024-10-31

Primary Outcomes

Primary Outcomes (end points)
Scores for written tasks, amount of text created by AI incorporated to the final output, taxonomy for AI usage.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants will be divided into groups based on three distinct incentive structures: A fixed payment approach; a performance-based incentive system; and a tournament-style arrangement. Our within-subject experiment design consists of three parts. The first is a written task without AI assistance. The second is another written task, this time with AI help. The third includes a survey designed to identify factors linked to creativity and attitudes towards AI, as outlined in psychological and economic studies.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer.
Randomization Unit
Randomization occurs at the level of experimental sessions and individually within each session.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
360
Sample size: planned number of observations
360 individuals
Sample size (or number of clusters) by treatment arms
120 flat fee, 120 performance incentive, 120 tournament.
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 and Social Sciences Research Ethics Committee, University of Warwick
IRB Approval Date
2024-05-08
IRB Approval Number
HSSREC 186/23-24
Analysis Plan