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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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?

The Digital Oath: Fostering Human-Centered Technology through Collaborative Positive Ethics

.
Najm M., Sammarco C., Knoll D. J.

This paper proposes a Digital Oath framework to engineers and digital actors designing AI systems. The framework consists of an actual oath with defined sets of pledges, as well as a supporting ground in form of a hub of collaborators. The oath with the proposed structure and content, inspired by the Hippocratic Oath, aims to be universal and encourage the digital actor to commit to principles related to the design of the digital systems and values of the human being, the peoples and the communities as well as the environment. It is structured in three sets of pledges, the first has the actor commit to participate and be aware of human rights and of the system being built. The second set contains guardrail pledges that inspire to do no harm. The third set promotes positive ethics, or the design of systems that do good. Furthermore, to address the inevitable complexity of translating principles into practice, the digital oath proposes a hub structure, a network of interdisciplinary professionals, sharing knowledge and situational experiences seeking to document good practices, and define methodologies for ethical AI designs. Within this framework, the digital oath links together the positive ethical commitment of the singular person and the collaborative deliberation to make sure AI design is centered on the human, the peoples and the communities. Through motivation, intention and collaboration, the digital oath framework is a step-by-step all-responsible end-user-oriented approach to building positive human-centered positive AI systems.

Language: English
DOI
Text on another site
Keywords: self-regulationAI ethicsCollaborative Positive EthicsDigital OathEthical FrameworkHippocratic OathResponsible AI Development

In book

2025 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS)
2025 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS)
IEEE, 2025.
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