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Responsible Artificial Intelligence

Research group 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 Ditmarsch, France
• Aurelie Clodic, France
• Catriona Kennedy, UK
• Stephen Cranefield, New Zealand

Research leader

Overview

Participating departments and units at Umeå University

Department of Computing Science

Research area

Computing science

Projects

Modeling anxiety to be taken into account within AI
Duration 1 June 2021 until 31 May 2025
Type of project Research project
Strategic Argumentation to deal with interactions between intelligent systems and humans
Duration 1 October 2020 until 30 September 2024
Type of project PhD project
Trust AI - Trustworthy AI
Research area: Computing science
Duration 1 September 2020 until 31 August 2022
Type of project Research project
ASSOCC
Research area: Computing science
Duration 1 March 2020
Type of project Research project
Responsible Artificial INtelligence (RAIN)
Research area: Computing science
Duration 1 January 2020 until 31 December 2021
Type of project Research project
HumaneAI-Net
Research area: Computing science
Duration 1 January 2020 until 31 December 2023
Type of project Research project
Bias-free chatbots
Research area: Computing science
Duration 2 September 2019 until 28 August 2020
Type of project Research project
AI, Democracy and Self-Determination
Duration 1 September 2019 until 1 September 2023
Type of project Research project
Sustainable AI
Research area: Computing science
Duration 1 May 2019 until 1 May 2021
Type of project Research project
Collaborative mixed-reality aid for children with autism
Research area: Computing science
Duration 1 April 2019 until 1 September 2020
Type of project Research project
HumaneAI
Research area: Computing science
Duration 1 March 2019 until 30 April 2020
Type of project Research project
AI4EU
Research area: Computing science
Duration 1 January 2019 until 31 December 2022
Type of project Research project
AI Glass Box
Research area: Computing science
Duration 1 January 2019 until 31 December 2024
Type of project Research project

Latest publications

Ethics and Information Technology
Nanni, Mirco; Andrienko, Gennady; Barabasi, Albert-Laszlo; et al.
London Review of Education, Vol. 19, (1) : 1-11
Dignum, Virginia
Minds and Machines, Springer 2021, Vol. 31, (1) : 137-163
Verdiesen, Ilse; Santoni de Sio, Filippo; Dignum, Virginia
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII: International Workshops COIN 2017 and COINE 2020, Sao Paulo, Brazil, May 8-9, 2017 and Virtual Event, May 9, 2020, Revised Selected Papers, Springer Nature 2021 : 57-75
Savarimuthu, Bastin Tony Roy; Licorish, Sherlock A.; Devananda, Manjula; et al.
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII: International Workshops COIN 2017 and COINE 2020, Sao Paulo, Brazil, May 8-9, 2017 and Virtual Event, May 9, 2020, Revised Selected Papers, Springer 2021 : 98-113
Siebert, Luciano Cavalcante; Mercuur, Rijk; Dignum, Virginia; et al.
Artificial Intelligencein Medicine: 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 Virtual Event, June 15–18, 2021 Proceedings, Springer Science+Business Media B.V. 2021 : 3-8
Dignum, Virginia
Information, MDPI 2021, Vol. 12, (9)
Verdiesen, Ilse; Aler Tubella, Andrea; Dignum, Virginia
Artificial Intelligence, Elsevier 2021, Vol. 300
Winikoff, Michael; Sidorenko, Galina; Dignum, Virginia; et al.
Frontiers in Artificial Intelligence, Frontiers Media S.A. 2021, Vol. 4
Methnani, Leila; Aler Tubella, Andrea; Dignum, Virginia; et al.
Ethics, Governance, and Policies in Artificial Intelligence, Springer Nature 2021 : 19-39
Floridi, Luciano; Cowls, Josh; Beltrametti, Monica; et al.

News - Computing Science

Discover digital worlds together with Curiosum!riosum!
Published: 22 Nov, 2021

November 20-21, a festive Curiosum is filled with digital creation, robots, gaming and film premiere.

New Professor in Software Engineering and Security
Published: 16 Nov, 2021

Meet Alexandre Bartel, new professor in Software Engineering and Security at Umeå University.

New comprehensive ecosystem of qualified AI research
Published: 15 Oct, 2021

New decision from Vice-Chancellor about AI.

Law, ethics and AI in focus at digital forensic conference

Researchers discuss how digital crime can be combated by digital forensics and artificial intelligence.

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