{"id":11192,"date":"2024-02-08T16:12:46","date_gmt":"2024-02-08T15:12:46","guid":{"rendered":"https:\/\/mohnfoundation.no\/?page_id=11192"},"modified":"2024-12-04T13:26:14","modified_gmt":"2024-12-04T12:26:14","slug":"palitelig-kunstig-intelligens","status":"publish","type":"page","link":"https:\/\/mohnfoundation.no\/en\/palitelig-kunstig-intelligens\/","title":{"rendered":"Trustworthy AI"},"content":{"rendered":"

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Trustworthy AI<\/h1><\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”2\/3″][vc_column_text]Over the last decade, we have seen significant technological breakthroughs in AI and it has become a natural part of research, education, and work. However, for AI to gain broad acceptance in society, it is crucial that AI systems are reliable.\u00a0Current AI systems lack scientific definitions and clear criteria for human values such as justice, responsibility, safety, privacy, and other important ethical aspects. There are also serious weaknesses in the legal frameworks within which AI systems operate, and issues with accuracy and robustness in the systems.<\/p>\n

To meet these challenges and strengthen high-quality AI research at UiB,\u00a0Trond Mohn Research Foundation<\/a> (TMF) and the University of Bergen (UiB) have developed the research program Trustworthy AI<\/em>.<\/p>\n

TMF announced a competition where UiB\u2019s academic communities could apply for support for ambitious research projects with the goal of significantly increasing the trustworthyness of AI systems. The projects were to include expertise from multiple research groups and disciplines, and aim to develop processes, methods, algorithms, and\/or tools to help solve the challenges.<\/p>\n

Three new research projects have been selected for funding. They are:<\/p>\n

AI and Education: Layers of Trust (EduTrust AI)<\/h4>\n

The main goals of the project are to\u00a0identify layers of trust associated with the use of AI in the\u00a0educational sector that considers the complex accountability relationships, to develop new knowledge, methods, guidelines, and tools for more reliable AI systems, to\u00a0translate insights about legal, psychological and socio-cultural determinants of trust into legal requirements, and to provide input for practicable frameworks related to the challenging questions surrounding the use of student data and AI systems in education.
\nThe project is a collaboration between the Centre for the Science of Learning & Technology (SLATE), the Faculty of Psychology, and the Faculty of Law. Professor\u00a0Barbara Wasson<\/a><\/strong>\u00a0from SLATE will lead the project.<\/p>\n

TRUSTworthy AI models to predict progression to complications in patients with Diabetes (TRUST-AI4D)<\/h4>\n

This project aims to develop and implement a better, fairer, and safer machine learning algorithm for predicting complications in patients with diabetes. The project is a collaboration between the Department of Clinical Science at the Faculty of Medicine, and the Department of Mathematics at the Faculty of Mathematics and Natural Sciences. Professor\u00a0Valeriya Lyssenko<\/a><\/strong>, Mohn Research Center for Diabetes Precision Medicine at the Department of Clinical Science, will lead the project.<\/p>\n

Algorithmic Foundations of Trustworthy AI<\/strong><\/p>\n

The project aims to build a new theoretical framework for understanding, developing, and designing socially responsible algorithms that incorporate human values into AI systems. The project is a collaboration between the Department of Informatics at the Faculty of Mathematics and Natural Sciences, and the Department of Information and Media Studies, the Faculty of Social Sciences. Professor\u00a0Fedor V. Fomin<\/a>, Department of Informatics, will lead the project.<\/p>\n

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