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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.

Research leader

Overview

Participating departments and units at Umeå University

Department of Computing Science

Research area

Computing science

Projects

AEQUITAS: Assessment and Engineering of Equitable, Unbiased, Impartial and Trustworthy AI-systems
Duration 1 November 2022 until 1 October 2024
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

Artificial Intelligence. ECAI 2023: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 – October 4, 2023, Proceedings, Part I, Springer 2024 : 7-23
Methnani, Leila; Dignum, Virginia; Theodorou, Andreas
ACM Computing Surveys, Association for Computing Machinery (ACM) 2024, Vol. 56, (7)
Methnani, Leila; Chiou, Manolis; Dignum, Virginia; et al.
Human-Centered Artificial Intelligence: Advanced Lectures, Springer 2023 : 3-7
Chetouani, Mohamed; Dignum, Virginia; Lukowicz, Paul; et al.
Frontiers in Computer Science, Frontiers Media S.A. 2023, Vol. 5
Baum, Kevin; Bryson, Joanna; Dignum, Frank; et al.
FAccT '23: Proceedings of the 2023 ACM conference on fairness, accountability, and transparency, ACM Digital Library 2023 : 1014-1025
Aler Tubella, Andrea; Coelho Mollo, Dimitri; Dahlgren, Adam; et al.
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems : 2376-2378
Brännström, Andreas; Dignum, Virginia; Nieves, Juan Carlos
Proceedings of the 1st workshop on fairness and bias in AIco-located with 26th european conference on artificial intelligence (ECAI 2023)
Brännström, Mattias; Jiang, Lili; Aler Tubella, Andrea; et al.
Handbook of critical studies of artificial intelligence, Cheltenham: Edward Elgar Publishing 2023 : 163-172
Lindgren, Simon; Dignum, Virginia
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence 2022 : 5782-5786
Winikoff, Michael; Sidorenko, Galina; Dignum, Virginia; et al.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022)
Brännström, Mattias; Theodorou, Andreas; Dignum, Virginia
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Latest update: 2023-10-26