Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents
DOI:10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad.v1
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DOI: 10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad
DOI: 10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad
Datacite citation style
Siddharth Mehrotra; Centeio Jorge, Carolina; C.M. (Catholijn) Jonker; Tielman, Myrthe (2024): Code underlying the publication: Integrity-based Explanations for Fostering Appropriate Trust in AI Agents. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/bb0d42f4-a98d-4ae6-8043-2d3756b035ad.v1
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Software
This repository includes the software code that was developed for the publication titled "Integrity-based Explanations for Fostering Appropriate Trust in AI Agents".
- Research Objective: How does the expression of different principles of integrity through explanation affect the appropriateness of human’s trust in the AI agent?
- Type of research: Empirical
- Code Environment: Microsoft Power Platform - Power Apps
- Type of Code: Power Apps Solution. Solutions are the mechanism for implementing application lifecycle management (ALM) in Power Apps.
- Method of data collection: Participants were provided guest credentials to login in Power Apps platform and interact with an AI agent to estimate calories of a food plate. The AI agent provided different types of integrity-laden explanations to help the participant in estimating the calories. Data was collected regarding reliance of the participant on the AI agent in form of 0 (not relied) and 1 (relied).
History
- 2024-04-04 first online, published, posted
Publisher
4TU.ResearchDataFormat
Microsoft PowerApps CodeAssociated peer-reviewed publication
Integrity-based Explanations for Fostering Appropriate Trust in AI AgentsReferences
Funding
- Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).
- HumanE AI Network (grant code 952026) Horizon 2020
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Department of Intelligent SystemsDATA
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