ANR-Lab member at the USBEREIT conference
ANR-Lab research fellow Anna Kartasheva made a presentation at the 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).
2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) ook place from May 13 to May 15, 2024.
At the Ural Federal University (Ekaterinburg), a block of reports on ethics was organized for the first time as part of the conference. The conference is being held for the sixth year in a row.
The conference included presentations on the latest advances in machine learning, the creation of medical devices, and how to work with the “ethics” of intelligent systems.
A plenary report on the needs and approaches to humanitarian examination of artificial intelligence from the scientific community and developers was made by Anastasia Valeryevna Ugleva, Ph.D., professor of the School of Philosophy and Cultural Studies, head of the working group “Ethical examination in the field of AI” of the AI Center of the National Research University HSE, member of the National Commission for the Implementation of the Code of Ethics in the Field of AI.
Slides of the report "AI Expertise. Humanitarian Assessment and Implementation Mechanisms."
Anna Kartasheva presented her reports at the section “Ethics in AI”:
- Anna Kartasheva (Higher School of Economics) and Daria Tomiltseva (UrFU) in their report “Artificial intelligence systems and the possibility of making moral decisions in smart cities” offered their vision of the dilemma of privacy and security. According to the speakers, the network of regulatory requirements and social connections will never allow developers of technical systems with AI to make a morally correct decision that will satisfy absolutely all urban communities, but new AI developments will make it easier to find social consensus.
Slides from the report "AI Systems and the Possibility of Moral Decision-making in Smart Cities".
- Anna Kartasheva (Higher School of Economics), Tatyana Oreshkina (UrFU) and Lyubov Zabokritskaya (UrFU) "The dilemma of sufficient forecasting accuracy in educational recommendation systems."
Slides from the report "The Dilemma of Sufficient Prediction Accuracy in Educational Recommendation Services".
Section participants noted the need for both interdisciplinary research in the field of AI ethics and the need for training to connect fundamental social and humanitarian research with practical requests from the IT industry.
