Description
algorithmic governance; data sovereignty; surveillance systems; ethical AI frameworks; power asymmetries; human-centered design; regulatory infrastructures; technological sovereignty; crisis technologies; digital resilience infrastructures; systemic risk and governance
Inspired by an extensive AI writing experiment in a seminar, I will try to build the bridge from the publishing value chain and the fascinating abilities of AI systems to support or take over publishing tasks like copy-editing or even gatekeeping to desirable future working set-ups in the book business; obviously, such set-ups will not least tie up on the limitations of AI systems. Finally, I...
Spectral comparison is central to many analytical decisions, including material identification, library searching, batch comparability, forensic screening, process monitoring and waste sorting. However, the apparently simple question of whether two spectra are similar can be answered in mathematically different ways. This presentation introduces the fundamentals of chemometric spectral...
Hybrid warfare campaigns have become a significant challenge to contemporary national and international security environments, combining conventional military actions with cyberattacks, disinformation, economic pressure, political manipulation, and psychological operations. This research examines the multidimensional nature of hybrid threats and analyses the mechanisms through which state and...
The advent of AI in healthcare is rewriting the coordinates of the therapeutic relationship, challenging the dogmas of civil and constitutional law.
The current European regulatory framework — even in light of the new AI Act — proves structurally inadequate. Traditional civil liability models fail to properly allocate the risks of "algorithmic errors" and reject the fiction of "electronic...
Background. The analysed issue holds significant importance because the rapid development of medical technologies is one of the most important transformations of modern societies.These innovations have contributed to increasing life expectancy, early diagnosis of diseases and improving the quality of life for millions of people.
Aim. The aim of the current study is to analyze how the...
This presentation explores emotionally adaptive dialogue frameworks for Human–AI interaction in educational environments. As AI becomes increasingly integrated into higher education, learning systems are beginning to influence cognition, interpretation, communication and meaning-making processes. The research develops an interdisciplinary, human-centered framework that combines cognitive...
Artificial intelligence is increasingly used in healthcare for diagnostic and therapeutic purposes, improving precision and efficiency in patient care. However, the growing autonomy of AI systems raises important legal issues concerning civil liability for damages caused by medical robots and intelligent technologies.
This study analyses the challenges posed by AI opacity and autonomy,...
