Category: Aidemoc - Page 3

What Does Parameter-free Probing Really Uncover?

Tommi Buder-Gröndahl Supervised approaches to probing large language models (LLMs) have been criticized of using...

Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach

Esko Lehtonen, Tommi Buder-Gröndahl, & Sina Nordhoff Questionnaires are essential for measuring self-reported attitudes, beliefs,...

In defence of mathematical content

Tommi Buder-Gröndahl Frances Egan has drawn a distinction between two types of content that can...

Kesätyöläisen kokemus hankeretriitistä: yhteisöä, oppimista ja oivalluksia

Kerron blogissa Sherpan kesätyöntekijöiden eli minun ja kollegani Marian kokemuksia AIdemoc-hankkeen tutkimuspäiviltä, jotka järjestettiin Majvikissa 16.–17.6.2025....

AIdemocin konsortion tutkimuspäivät järjestettiin 16.-17.6. Majvikissa

AIdemocin tutkimuspäiville 16.-17.6. osallistuivat (kuvassa vas.): Riikka Möttönen, Sébastien Le Maguer, Tommi Buder-Gröndahl, Jukka Niittymaa,...

Organisational tensions in introducing socially sustainable AI

Lanne, M., Nieminen, M., & Leikas, J. (2025). The introduction of AI into an organisation...

Algorithmic management and its individual, organisational and societal impacts (2025)

Noponen, N. (2025). The use of advancing technology in managerial tasks is transforming work and...

Future roles for communicators in digital media-arenas: Boxturners and global diplomats

Luoma-aho, V. & Badham, M. (2025). Digitalization is affecting not only the corporate communication function...

The AI Act: When Too Much Is Not Enough

Anna-Mari WallenbergCognitive Science, Department of Digital Humanities, University of Helsinki The AI Act has been...

Future-oriented AI risk management

Gotcheva, N. & Wessberg, N., (2024) Integrating foresight and risk assessment traditions is beneficial in studies of new...