Research Program 7 (R7)
AI in society
FCAI Research Program R7 AI in society focuses on social and ethical dimensions of AI and contributes especially on objectives Trust and Ethics (O2) and Understandability (O3). It deals both with the preconditions of trustworthy and socially acceptable AI and the consequences of uses of AI.
The program brings together AI research and human sciences to better understand how AI works in organizations and society. The main lines of research include:
The design and domestication of AI and their unintended consequences
Understandability of AI for different audiences and stakeholders
Foresight and responsibility in AI decision-making and robotics
Legitimacy and social acceptability of AI – the institutional arrangements for accountability and trust
The governance, politics and political economy of data
Examples of publications:
Kontiainen, Laura, Riikka Koulu, Suvi Sankari. 2022. Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research. Frontiers in Artificial Intelligence 5.
Snell, Karoliina, Heta Tarkkala, Aaro Tupasela. 2021. A Solidarity Paradox – Welfare State Data in Global Health Data Economy. Health.
Raul Hakli, Pekka Mäkelä. 2019. Moral Responsibility of Robots and Hybrid Agents.The Monist, 102 (2).
Juho Pääkkönen, Petri Ylikoski. 2020. Humanistic interpretation and machine learning. Synthese.
Coordinating professor: Petri Ylikoski – petri.ylikoski at helsinki.fi
People
The groups of following PIs take part in the Research Program AI in society. If you would like to join this program, please contact the coordinating professor.
Ilkka Arminen, University of Helsinki
Tero Erkkilä, University of Helsinki
Patrik Floréen, University of Helsinki
Nadezhda Gotcheva, VTT
Jaana Hallamaa, University of Helsinki
Katri Havu, University of Helsinki
Ida Koivisto, University of Helsinki
Kathrin Komp-Leukkunen, LUT University
Päivi Korpisaari, University of Helsinki
Riikka Koulu, University of Helsinki
Krista Lagus, University of Helsinki
Leena Lankoski, Aalto University
Jaana Leikas, VTT
Susanna Lindroos-Hovinheimo, University of Helsinki
Tommi Mikkonen, University of Helsinki
Matti Nelimarkka, University of Helsinki
Mika Nieminen, VTT
Pekka Nikander, Aalto University
Jukka K. Nurminen, University of Helsinki
Taina Pihlajarinne, University of Helsinki
Paavo Pylkkänen, University of Helsinki
Samuli Reijula, University of Helsinki
Minna Ruckenstein, University of Helsinki
Nitin Sawhney, Aalto University
Karoliina Snell, University of Helsinki
Martti Vainio, University of Helsinki
Anna-Mari Wallenberg, University of Helsinki
Roman Yangarber, University of Helsinki
Petri Ylikoski, University of Helsinki – coordinating professor
Fundamental AI Research
Joint methodological goal
AI-assisted decision-making, design and modeling →
Research Programs
Probabilistic AI →
Simulators →
Deep learning →
Privacy and security →
Interactive AI →
Autonomous AI →
AI in society →
Highlight Programs
Modeling tools →
Health →
Service assistant →
Atmospheric →
Materials →
Sustainability →