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Other literature type . 2025
License: CC BY
Data sources: ZENODO
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Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Responsible AI in Research Assessment: A Landscape Analysis

Authors: van den Hooff, Susanne; Coler, Matt; Crawley, Francis P.; Mboya, Millicent; Chimusa, Emile Rugamika; CoARA Working Group on Ethics and Research Integrity Policy in Responsible Research Assessment for Data and Artificial Intelligence (CoARA-ERIP);

Responsible AI in Research Assessment: A Landscape Analysis

Abstract

As AI transforms research practices and assessment, the scientific community faces unprecedented ethical challenges. The CoARA Working Group on Ethics and Research Integrity Policy in Responsible Research Assessment for Data and Artificial Intelligence (CoARA-ERIP) aims to develop comprehensive frameworks for responsible AI integration in research assessment. This document outlines the project and is structured as follows. In chapter 2 an introduction of CoARA-ERIP is given. In chapter 3 the ethical framework and guiding principles that the Landscape project operates within is described and its four central values “fairness and non-discrimination, transparency and explainability, accountability and responsibility, and integrity and quality assurance” are described in detail. Chapter 4 outlines the data management and reproducibility protocol of the project and how they align with and support the ethical framework. In chapter 5 the main outcomes of the landscaping project, the curated review of assessment practices, tools, and actors, is described. In chapter 6 - 9 the action plans of the different aspects of the landscaping are described. In chapter 10 the resource requirements, in chapter 11 the risk management, in chapter 12 the success metrics, in chapter 13 the sustainability plan, and in chapter 14 the implementation timeline is described.

Keywords

AI, research ethics, research integrity, artificial intelligence, ethics

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    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).
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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Green
Related to Research communities