Jyri Rajamäki

The analysis presented in this paper has implications that extend beyond the specific case of ALTAI and the SHAPES pilots. By examining a widely adopted Trustworthy AI tool under increasing capability stress, the study contributes to broader discussions on how AI governance should evolve as systems approach AGI-level generality and, potentially, superintelligence. These implications are relevant for researchers, practitioners, and policymakers alike.

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Jyri Rajamäki Jyri Rajamäki Scilit Preprints.org Google Scholar 1,* and Jaakko Helin Jaakko Helin Scilit Preprints.org Google Scholar 2 1 Unit W, Laurea University of Applied Sciences, 02650 Espoo, Finland 2 COJOT, 02270 Espoo, Finland * Author to whom correspondence should be addressed.

Open AccessArticle by 1,*, 2, Pedro Alfonso Lebre Rocha 3, 4, 1 and 1 1 Unit W, Laurea University of Applied Sciences, 02650 Espoo, Finland 2 5th Regional Health Authority of Thessaly & Sterea, 41110 Larissa, Greece 3 [email protected], Department of Behavioural Sciences, School of Medicine and Biomedical Sciences (ICBAS), University of Porto, 4200-450 Porto, Portugal 4 Computer Architecture and Networks Group, School of Computer Science, University of Castilla-La Mancha, Paseo de la...