Responsible AI in Research Assessment: A Landscape Analysis

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-24
DOI
https://doi.org/10.5281/zenodo.17435545
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Responsible AI in Research Assessment: A Landscape Analysis

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Responsible AI in Research Assessment: A Landscape Analysis

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Humanistic Studies (NL), University of Groningen (NL), Jomo Kenyatta University of Agriculture and Technology (KE), Ta Solutions (China) (CN), Digital Research Alliance of Canada, European Forum for Good Clinical Practice (BE)
Openalex Percentile: Top 42%
Ethics and Social Impacts of AI
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Responsible AI in Research Assessment: A Landscape Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS