Natalia Murashova

Norwegian version of this page Faculty of Teacher Education and Languages

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Norwegian version of this page Position

Doctoral Research Fellow

Contact

+4769608114

natalia.murashova@hiof.no

Study place

Halden

Office nr.

E1-040

PhD-programme

Digitalisation and Society

Background

Natalia works in the intersection of academia, society and technology exploring ethical and responsible ways forward. With an interdisciplinary and international backgrounds, she approaches problems from a multidimensional perspective therefore offering a wider range of solutions. Natalia has worked in the multiple research project dedicated to laws on Indigenous issues in Arctic region, sustainability and housing transition in Northern Thailand, RRI and sustainable future of healthcare in Norway.

Currently, at her PhD project she is collaborating with an interdisciplinary project funded by Norwegian Research Council and led by SINTEF - ENACT (Etisk risikovurdering av kunstig intelligens i praksis).

BEd Circumpolar Studies and Pedagogy, Nord University/NArFU 2017
MSc Globalisation and Sustainable Development, NTNU 2021

Academic interests

AI ethics
Responsible innovation
Organisational Development
Stakeholder engagement
Co-creation
Title of dissertation: Ethical AI in practice: addressing challenges of ethical AI in organizations through co-creation and learning
Supervisor: Associate Professor Leonora Onarheim Bergsjø and Associate Professor Diana (Saplacan) Lindblom

Projects and partners

From 2024 Research group for AI, ethics and philosophy (AEP)
From 2023 Ethical risks assessment of Artificial Intelligence in practice (ENACT) HiØ, SINTEF, UiO, NTNU, NAV, Posten, DNB, Hypatia Learning, NORA.ai, MedSensio
From 2022 to 2023 Responsible research in Innovation in Norway (AFINO) NTNU, NTNU Helse, NIFU, UiS

Get in touch!

Research groups

AI Network

Murashova, Natalia; Bergsjø, Leonora Onarheim; Dahl, Heidi Elisabeth Iuell; Omerovic, Aida & Lindblom, Diana Saplacan (2026). Ethical risk assessment of AI in practice: a proposal of the methodology for organisational application. Nordic Machine Intelligence (NMI). 6(4), p. 43–52. doi: 10.5617/nmi.13138. Full text in Research Archive Show summary
As Artificial Intelligence (AI) is incorporated into the workflow, several ethical issues and risks which can cause actual harms are being introduced. Despite the well-established frameworks of ethical AI principles, there are few practice-oriented approaches for structured interdisciplinary assessment of the ethical aspects associated with AI use and design. To supply the principles and address the increasing focus on AI-risks from an ethical perspective, an Ethical risk assessmeNt of Ai iN pracTice (ENACT) methodology is proposed. To develop ENACT together with a cross-sectoral, interdisciplinary consortium of Norwegian private and public businesses, the core principles of Design-Based Research (DBR) were applied including real context orientation, collaborative partnership and focus on testing and multiple interactions. Four aspects of the ENACT methodology were collaboratively developed and tested and are proposed in this paper including format, structure, scope and support tools. This paper describes and details three steps of the ENACT methodology and discusses its potential and limitations for qualitative ethical risk assessment of AI in organisational settings.
Murashova, Natalia; Lindblom, Diana Saplacan; Omerovic, Aida; Dahl, Heidi Elisabeth Iuell & Bergsjø, Leonora Onarheim (2025). Ethical Risk Assessment of AI in Practice Methodology: Process-oriented Lessons Learnt from the Initial Phase of Collaborative Development with Public and Private Organisations in Norway. International Conferences on Advances in Computer-Human Interactions ACHI. p. 33–40. doi: 10.6084/m9.figshare.30911861. Full text in Research Archive Show summary
Artificial Intelligence (AI) and its ethical implications are not new for academia and business. Challenges of embedding principles for ethical AI in practice are obvious and even though the gap between theory and practice is decreasing, it does not meet the urgent need for responsible technology development and deployment. Embedding ethical principles in existing risk assessment practices is a novel, process-oriented approach that can contribute to operationalising AI ethics in organisational practice. This paper elaborates on initial phase of collaborative development of ethical risk assessment of AI methodology, involving private and public organisations in Norway. We reflect upon our experience and present key take-aways in a form of three lessons learnt from embedding a Model-based security risk analysis method (CORAS) and a Story Dialog Method (SDM) in the initial phase of the collaborative methodology development. This study concludes that ethical risk assessment of AI in practice is feasible and explores design issues related to cross-sectoral settings, flexibility of the methodology, and power-relationship.
Grandis, Giovanni De; Murashova, Natalia; Bonnevie, Tora; Falkenberg, Liv Eggset; Jamtøy, Ann Iren & Arntsen, Trude Jeanett (2024). Visions for sustainable healthy futures for Norway. Citizen Involvement Workshop Executive Report. OSF Preprints. doi: 10.31235/osf.io/b9qhf. Full text in Research Archive

View all works in NVA

Murashova, Natalia (2026). Panel discussion: Perspectives on AI in writing. Full text in Research Archive
Murashova, Natalia (2026). Conference presentation: Ethical Risk Assessment of AI in Multidisciplinary Teams: When Methodology Meets Practice. Full text in Research Archive
Murashova, Natalia; Bergsjø, Leonora Onarheim & Semujanga, Benjamin (2026). Validering av Etisk risikovurdering av KI metodologi i praksis. Full text in Research Archive Show summary
På vegne av ENACT prosjektet kommer Natalia Murashova og Benjamin Semujanga til å presentere foreløpige resultater fra datanalyse fra validering av Etisk risikovurdering av KI metodologi i praksis. Presentasjonen skal handle kort om ENACT prosjektet og hvordan metoden blir utviklet med fokus på resultater fra pilotfasen av metodologi testing (på Engelsk). Natalia Murashova er stipendiat ved Høgskolen i Østfold på det nye Ph.d programmet Digitalisering og Samfunn. Hun er knyttet til et Forskningsrådet finansiert prosjekt som handler om etisk risikovurdering av KI i praksis - ENACT. Natalia har erfaring fra tverrfaglige forskingsprosjekter fra Norge og utlandet. I dette prosjektet samarbeider hun med de akademiske (NTNU, UiO, SINTEF) og business (NAV, DNB, Posten Bring, Hypatia Learning, MedSensio, Nasjonalmuseet) partnere og forsker på hvordan norske virksomheter kan bruke og utvikle KI løsninger på etisk og ansvarlig måte. Ansattside: https://www.hiof.no/lusp/english/people/aca/natalm/ ENACT prosjekt: https://www.enactai.no/ Benjamin Semujanga er PhD stipendiat, Institutt for datateknologi og informatikk, Institutt for språk og litteratur. Han jobber med WP4 ENACT prosjekt som handler om validering av etisk risikovurdering metoden. Profil: https://www.linkedin.com/in/benjamin-semujanga/?originalSubdomain=no
Murashova, Natalia & Bergsjø, Leonora Onarheim (2025). KI og etisk risikovurdering for Nasjonalmuseet. Full text in Research Archive
Lindblom, Diana Saplacan & Murashova, Natalia (2025). AI in Society: Virtual and Physical AI. doi: https:/www.uio.no/om/samarbeid/skole/fagped-dag/program.html. Full text in Research Archive Show summary
This talk explores the evolving landscape of artificial intelligence in various societal contexts, focusing on the integration and implications of AI (virtual) tools such as e.g., ChatGPT, Microsoft Copilot, but also the use of "physical AI", such as in social robots. It showcases practical cases, showing some insights from our initial fieldwork applying the Ethical Risk Assessment of AI in practice (ENACT) in various private and public (learning) organizations, as well as some insights from our work within Human-Robot Interaction and social robots area in the Vulnerability in Robot Societies (VIROS), Predictive and Intuitive Robot Companion (PIRC) research projects, and our recently funded ROBOts as Welfare Technologies and Actors for ELderLy Care: A Nordic Model for Integration of Advanced Assistive Technologies (ROBOWELL) project.
Bergsjø, Leonora Onarheim & Murashova, Natalia (2025). Etisk og sikker bruk av KI i skole og utdanning -- ENACT: Etisk risikovurdering av kunstig intelligens i praksis. Full text in Research Archive Show summary
Hvordan kan vi sikre at etisk og sikker bruk av Pedagogisk KI i skole og utdanning sikrer elevers læring? Skolens tradisjonelle praksis med å evaluere og vurdere elevers innleveringer er truet når innleveringen kan gjøres med et enkelt prompt. Ved bruk av Pedagogisk KI kan vi støtte elevers læring, vi kan dokumentere at elever selv har produsert sine tekster. Vi presenterer funn fra de to forskningsprosjektene: - AI4AfL: Kunstig intelligens for vurdering for læring for å styrke læring og undervisning i det 21. århundre - ENACT: Etisk risikovurdering av kunstig intelligens i praksis Og hvordan disse funn er implementert i digitale pedagogiske løsninger for bruk i norsk skole. Vi avslutter presentasjonene med en paneldebatt om hvilke muligheter og utfordringer skolene står ovenfor når elvene har tilgang til ukritisk bruk av KI løsninger på skolen og hjemme.
Murashova, Natalia (2025). How can Norwegian organisations adopt ethical AI solutions in their practice? doi: https:/www.nora.ai/norsk/events/2025/enact-etisk-risikovurdering-av-kunstig-intelligens.html. Full text in Research Archive
Murashova, Natalia & Bergsjø, Leonora Onarheim (2025). Etisk risikovurdering av KI i praksis: ENACT prosjektet og relevans for utdanningssektoren i Norge. Full text in Research Archive
Murashova, Natalia (2025). Panel Discussion: The Challenges of Human Interaction in the Digital Age. Full text in Research Archive
Murashova, Natalia (2025). Ethical Risk Assessment of AI in Practice: Collaborative Development with Public and Private Organisations in Norway. Full text in Research Archive
Grandis, Giovanni De; Murashova, Natalia & Bonnevie, Tora (2024). Anticipation or vision - how to be responsible? Full text in Research Archive
Murashova, Natalia (2024). Ethical and responsible AI in practice? Learning from co-creating with Norwegian organisations. Full text in Research Archive

View all works in NVA

Published Nov. 17, 2023 3:03 PM - Last modified Sep. 8, 2026 2:46 PM