How annotation trains annotators: competence development in social influence recognition
MM Markiewicz, B Bajcar, WM Mieleszczenko-Kowszewicz, AP Szczęsny, T Adamczyk, G Chodak, …, P Kazienko, …
AIED 2026 531–545
2027
Tomasz Adamczyk
Doktorant
Tomasz received the B.Sc in Computer Science in 2021 and the M.Sc. degree in Trusted Artificial Intelligence in 2022, both from Wrocław Tech, and the M.A. degree in Cognitive Science from the University of Silesia in Katowice in 2024. He is a Ph.D. student in computer science at the Department of Artificial Intelligence, Wrocław Tech, currently working with the ImpactAI Lab research team. His research interests include explainable and steerable AI, large language models, and the psychology of social influence.
Zainteresowania badawcze
- odpowiedzialna ai
- wyjaśnialna ai
- sterowalna ai
Wykształcenie
- 2021
Inżynier, Informatyka
Politechnika Wrocławska
- 2022
Magister Inżynier, Zaufane Systemy Sztucznej Inteligencji
Politechnika Wrocławska
- 2024
Magister, Kognitywistyka
Uniwersytet Śląski w Katowicach
Publikacje3
Sociodemographic biases in educational counselling by large language models
T Adamczyk, WM Mieleszczenko-Kowszewicz, B Bajcar, G Chodak, AP Szczęsny, MM Markiewicz, P Kazienko, …
AIED 2026 478–487
2027
From detection to explanation: Modeling fine-grained emotional social influence techniques with LLMs and human preferences
MM Markiewicz, WM Mieleszczenko-Kowszewicz, B Bajcar, T Adamczyk, AP Szczęsny, J Babiak, P Kazienko
The 19th Conference of the European Chapter of the Association for Computational Linguistics 4, 715–734
2026