References

steps

Шаги/Steps

Shagi / Steps

2412-94102782-1765

The Russian Presidential Academy of National Economy and Public Administration

RIDITQ

steps-1111

Research Article

КОНСТРУИРОВАНИЕ «ДРУГОГО» В МЕДИА

Towards an ethical strategy for research data infrastructures: Digitalizing archives of historical hate

https://orcid.org/0000-0002-5192-8007

Krasni

J. Z.

Krasni

J. Z.

Ян Златкович Красни, PhD научный сотрудник, Департамент образования

Bunsenstr. 3, 35032, Marburg

Jan Zlatković Krasni, PhD Research Fellow, Department of Education

Bunsenstr. 3, 35032, Marburg

jan.krasni@uni-marburg.de

Марбургский университетГерманияUniversity of MarburgGermany

2025

21122025

114205221

2025

Krasni J.Z.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://steps.ranepa.ru/jour/article/view/1111

В статье рассматриваются этические сложности, связанные с разработкой инфраструктур исследовательских данных (Research Data Infrastructures, RDI) для оцифрованных архивов с акцентом на материалы, содержащие исторический контент, касающийся вражды. Рассматривается напряжение, с одной стороны, между принципами открытого доступа и массовой оцифровки, которые направлены на повышение доступности знаний, и, с другой стороны, с этическим императивом предотвратить распространение вредного контента, который может увековечить предвзятые идеологии или вредные стереотипы. Для решения этих проблем автор предлагает комплексную этическую стратегию, которая объединяет подход трансэпистемического осмысления с принципами организационного обучения (в понимании Organisations-pädagogik). В этой стратегии особое внимание уделяется сотрудничеству между различными заинтересованными сторонами – архивистами, исследователями, экспертами в области информационных технологий и заинтересованными сообществами – для создания как этически надежных, так и практически жизнеспособных решений. Выходя за пределы исключительно технических или правовых рамок, предложенный подход стремится сбалансировать доступность исторических документов для исследовательских целей и необходимость снижения рисков, связанных с распространением ненавистнического контента. В статье рассматриваются такие важные вопросы, как алгоритмическая предвзятость, которая может непреднамеренно усилить вредные стереотипы, и потенциал двойного назначения технологий искусственного интеллекта, когда технологии, созданные для повышения эффективности архивного дела, могут быть использованы не по назначению. Автор также обсуждает противоречие между принципами открытой науки и ограниченным доступом к чувствительным материалам, выступая за тонко настроенные модели контроля доступа как для человеческих пользователей, так и для систем искусственного интеллекта. Благодаря трансэпистемическому подходу стратегия поддерживает междисциплинарный диалог таким образом, чтобы инфраструктуры исследовательских данных были этичными, сохраняли исторические знания и защищали их от вреда, способствуя формированию стандартов ответственного цифрового архивирования.

This paper explores the ethical complexities of developing research data infrastructures (RDIs) for digitalized archives, with a focus on materials containing historical hateful content. It examines the tension between the principles of open access and mass digitization, which aim to enhance knowledge accessibility, and the ethical imperative to prevent the dissemination of harmful content that could perpetuate biased ideologies or harmful stereotypes. The author proposes a comprehensive ethical strategy that integrates a trans-epistemic design approach with principles of organizational learning and development to address these challenges. This strategy emphasizes collaboration among diverse stakeholders – archivists, researchers, IT experts, and affected communities – to create solutions that are both ethically robust and practically viable. By moving beyond solely technical or legal frameworks, the approach seeks to balance the accessibility of historical records for research purposes with the need to mitigate risks associated with the spread of hateful content. The paper delves into critical issues such as algorithmic bias, which can inadvertently amplify harmful stereotypes, and the dual-use potential of AI, where technologies designed for archival efficiency might be misused. It also addresses the conflict between open science principles and restricted access to sensitive materials, advocating for nuanced access controls for both human users and AI systems. Through a trans-epistemic lens, the strategy fosters interdisciplinary dialogue to ensure RDIs serve as ethical infrastructures that preserve historical knowledge while safeguarding against harm, contributing to a framework for responsible digital archiving.

этическая стратегияинфраструктуры исследовательских данныхцифровые архивыненавистнический контент (контент вражды)алгоритмическая предвзятостьтрансэпистемический подход к проектированиюоткрытый доступэтика искусственного интеллекта

ethical strategyResearch Data Infrastructures (RDI)digital archiveshateful contentalgorithmic biastrans-epistemic design approachopen accessAI ethics

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The authors declare that there are no conflicts of interest present.