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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Can We Trust AI Agents? - Supplementary Material

Research datakeyboard_double_arrow_right Dataset 15 May 2025 English Publisher:Zenodo
Authors: Siqueira de Cerqueira, José Antonio; Agbese, Mamia; Rousi, Rebekah; Xi, Nannan; Hamari, Juho; Abrahamsson, Pekka;

doi: 10.5281/zenodo.15425970 , 10.5281/zenodo.13980075

Can We Trust AI Agents? - Supplementary Material

Abstract

This is the supplementary material of our paper entitled Can We Trust AI Agents? An Experimental Study Towards Trustworthy LLM-Based Multi-Agent Systems for AI Ethics. Published in TETHICS 2025, Conference on Technology Ethics, Vaasa, Finland, 11-12 November 2025.

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Keywords

Artificial intelligence, Software development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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