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What's new?
Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
Michał Kuk, Szymon Bobek and Grzegorz J. Nalepa recently presented a paper about explainable AI on the prestigious International Conference on Computational Science 2022 (ICCS 2022). Below you can find a link to the paper.
12.07.2022
Read More o Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models
Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations
New publication authored by the members of JAHCAI - Szymon Bobek and Grzegorz J. Nalepa, along with Jakub Jakubowski and Przemysław Stanisz.
08.04.2022
Read More o Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations

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About JAHCAI

Research scope

The research interest of the Lab include, on the one hand, the development of artificial intelligence (AI) models, methods, and techniques and, on the other hand, building an interdisciplinary field for their extension and application in precisely defined areas outside of computer science.

AI methods we are interested in include machine decision support, knowledge modeling and symbolic knowledge extraction, data mining and intelligent analytics, methods of contextual inference and explanatory reasoning in AI systems (XAI) and methods of integrating symbolic knowledge with statistical models.

Areas of collaboration with other disciplines and applications include data and behavior analytics in video games and serious games, multimodal human-machine interaction, development of assistive systems for seniors and people with disabilities (Ambient Assisted Living, Quality of Life), affective computing, machine perception, assistive biomedical signal analysis, AI methods in Industry 5.0, and law - including legal inference and argumentation systems, among others in the area of Responsible AI (RAI).

The team includes computer scientists specializing in AI and physicists from the faculty of FAIS specializing in computer science and data analytics, supported by specialists in psychology, cognitive science, and legal theory from the Faculties of Philosophy, and Law and Administration, as well as scientists from outside the Jagiellonian University, including AGH.

The research topics of the LAB address the digital divide challenge, through research in the areas of: 

  1. AI: new computational techniques using eXplainable AI (XAI) and data stream analysis,
  2. Digital Transformation: human-machine and brain-computer interfaces, affective computing (AfC), use of AI tools in psychological experiments, process-legal-decision support, impact of latest technologies on media and social communication,
  3. Digital Humanities: digital research on culture and art: quantitative and qualitative analysis of multimedia data.

See Projects for more info on working groups operating within the LAB.