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Responsible Artificial Intelligence

The research group in Responsible AI was established to study the ethical and societal impact of AI, while supporting policymakers through the development of tools and methodologies to mitigate adverse effects.

We study the ethical and societal impact of AI, through the development of tools and methodologies design, monitor, and develop trustworthy AI systems and applications.
Our research is not only about the development of intelligent systems, but also in understanding the effects of their deployment on our societies. We are working to ensure the ethical application of Artificial Intelligence (AI), both through public engagement and frequent interaction with policymakers, and by facilitating the engineering of Responsible AI.

Our diverse multidisciplinary research programme aims to help all relevant actors to have access to the means and tools to develop, deploy, operate, and govern systems, while taking any ethical, legal, and socio-economics implications into consideration.

Research Topics & Questions

  • AI Governance: Which ethical, legal, and socio-economic issues arise from the activity of autonomous intelligent agents in teams? How can activity be regulated?  What are the moral and legal values we want our systems to adhere to?
  • Systems Engineering of AI: How can we develop intelligent systems with modular maintainable code? How can we efficiently develop systems that adhere to our moral and legal values?
  • Analysis and formalization of social interaction: The aim is to study the effect of social and organizational structure taking into account the autonomy and heterogeneity of participants and the societal and legal values holding in the context. To this end, we are developing formal theories and a computational architecture for agent deliberation based on social-practices.
  • Design and evaluation of human-agent teamwork: The central research question is how do people interact (negotiate, trust, cooperate) with autonomous cognitive entities in a social setting and the development of agent-based simulations of complex socio-technical domains.

Visiting Fellowship Program

The AI research groups at the Department of Computer Science, Umeå University, Sweden, have established a Visiting Fellowship program to foster the development of links with international scholars (at least 5 years post doctorate). This Fellowship is an exciting opportunity for scholars to visit the Department, contribute to its academic life and form new collaborations. The focus of the Fellowship is on the impact of Artificial Intelligence, in the broadest sense, a key strength and unifying feature of the AI cluster, or on a substantive area of interest within AI cluster.

Proposals for collaborative research with members of the AI cluster are especially welcome. Applicants are therefore strongly encouraged to engage on interaction with members of the cluster prior to submitting their application for visiting fellowship program. We expect to support 3 to 5 fellowships per year.

Applications for visiting fellowship are currently closed. Notifications for fellows in the Fall 2020/Winter 2021 were announced in May 2020. 
Fellows for 2020/2021 are:
• Hans Weigand, The Netherlands (postponed to 2021)
• Rui Prada, Portugal (postponed to 2021)
• Mark Klein, USA
• Hans van Dittmarsch, France
• Aurelie Clodic, France
• Catriona Kennedy, UK
• Stephen Cranefield, New Zealand

Projects

ASSOCC
Research subject: Computing science
Duration 1 March 2020
Type of project Research project
HumaneAI-Net
Research subject: Computing science
Duration 1 January 2020 until 31 December 2023
Type of project Research project
Responsible Artificial INtelligence (RAIN)
Research subject: Computing science
Duration 1 January 2020 until 31 December 2021
Type of project Research project
Bias-free chatbots
Research subject: Computing science
Duration 2 September 2019 until 28 August 2020
Type of project Research project
AI, Democracy and Self-Determination
Research subject: Computing science
Duration 1 September 2019 until 1 September 2023
Type of project Research project
Sustainable AI
Research subject: Computing science
Duration 1 May 2019 until 1 May 2021
Type of project Research project
Collaborative mixed-reality aid for children with autism
Research subject: Computing science
Duration 1 April 2019 until 1 September 2020
Type of project Research project
HumaneAI
Research subject: Computing science
Duration 1 March 2019 until 30 April 2020
Type of project Research project
AI Glass Box
Research subject: Computing science
Duration 1 January 2019 until 31 December 2024
Type of project Research project
AI4EU
Research subject: Computing science
Duration 1 January 2019 until 31 December 2022
Type of project Research project

Latest publications

2020
Nature Machine Intelligence
Theodorou, Andreas; Dignum, Virginia
2020
Nature Communications, Nature Publishing Group 2020, Vol. 11, (1)
Vinuesa, Ricardo; Azizpour, Hossein; Leite, Iolanda; et al.
2020
Transactions on Data Privacy, Transactions on Data Privacy 2020, Vol. 13, (1) : 61-66
Nanni, Mirco; Andrienko, Gennady; Barabasi, Albert-Laszlo; et al.
2020
Minds and Machines, Springer 2020, Vol. 30, (2) : 177-194
Dignum, Frank; Dignum, Virginia; Davidsson, Paul; et al.
2020
Minds and Machines
Verdiesen, Ilse; Santoni de Sio, Filippo; Dignum, Virginia
2020
NeHuAI 2020 : First International Workshop on New Foundations for Human-Centered AI: Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), RWTH Aachen University 2020 : 3-10
Hellström, Thomas; Dignum, Virginia; Bensch, Suna
2020
Rules and Reasoning. RuleML+RR 2020., Springer 2020 : 159-167
Aler Tubella, Andrea; Theodorou, Andreas; Dignum, Virginia; et al.
2019
JASSS: Journal of Artificial Societies and Social Simulation, J A S S S 2019, Vol. 22, (1)
Mercuur, Rijk; Dignum, Virginia; Jonker, Catholijn M.
2019
British Journal of Educational Technology, Wiley-Blackwell 2019, Vol. 50, (6) : 2885-2901
Richards, Deborah; Dignum, Virginia
2019
IEEE technology & society magazine, Institute of Electrical and Electronics Engineers (IEEE) 2019, Vol. 38, (4) : 34-44
Verdiesen, Ilse; de Sio, Filippo Santoni; Dignum, Virginia
Responsible AI grant
Responsible AI grant

The research project Responsible Artificial INtelligence (RAIN) is supported with a SEK 1,500,000 grant.

Virginia Dignum one of 50 top AI ethics influencers
Virginia Dignum one of 50 top AI ethics influencers

Virginia Dignum on the French digital web agency IPFC list of top 50 AI Ethics influencers.

Umeå professor on world list
Umeå professor on world list

Professor Virginia Dignum's book on AI ranked as one of the best books in computer science 2019.