Marija Slavkovik is a  professor at the University of Bergen in Norway. Her area of research is Artificial Intelligence (AI) with expertese in collective reasoning. Slavkovik is active in the AI subdisciplines of: multi-agent systems, machine ethics and computational social choice.

Slavkovik believes that the world can be improved by automating away the borring, repetitive and dangerous human tasks and that AI has a crutial role to play towards this goal. In AI, the big problem she hopes to solve is the efficient self-coordination of systems of artificial intelligent agents.

In machine ethics, Slavkovik is active in engineering machine ethics problems - How can we build autonomous systems and artificial agents that behave ethically? Want to know what is happening in machine ethics since it stopped being an SF-only topic? There is a tutorial for that. Slavkovik co-organised a Dagstuhl Seminar in 2019 on this topic. She is also one of the guest editors of the Special Issue on Ethics for Autonomous Systems of the AI Journal.  

Slavkovik is  the vice-chair of the Norwegian Artificial Intelligence Society and member of the informal advisory group on Ethical, Legal, Social Issues  of CLAIRE. She is in the education committee of NORA curently working on developing a national phd course on AI ethics. 

In computational social choice and multi-agent syste, Slavkovik is particularly active  in Judgment Aggregation. If you are wondering what this is there is a tutorial for that. Her new passion in this field is looking for ways to consider  social network interaction of  agents and what impact that can have on collective reasoning and decision-making, particularly in aggregation. For more on what social network analysis has to do with AI go here. 

Slavkovik was the chair and host of the 16th European Conference on Multi-Agent Systems EUMAS held December 6-7, 2018 in Bergen. Here are the proceedings.  She is also in the board of EURAMAS.

 

Marija is an active  speaker on issues of AI and Ethics. Links to some given talks, articles and interviews. 

Video & audio

• Kunstig intelligens og maskinetikk Akademisk lunsj Bergen Library Available as podcast.
• Who's a good robot? CHRISTIE-KONFERANSEN: The robots are coming, are you?  Video? (Jump to 5:36:00)
• For the good of all, CLAIRE (jump to 2:20)
• Ben Gyford's Machine Ethics Podcast.
• AI and Ethics. Teaching machines to behave with TechNadine.
• AI Inspiration talk. Nordic testbed network.

Text

• The usefullness of useless AI by Marija Slavkovik. The AI Hub.
• Press for Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders :New Scientist, Daily Mail
• People know when to break the rules, but machines don’t by the Tek-Lab. 
• Shame on you robot by TORHILD DAHL
• Researcher profile by UiB
• Condorcet’s jury theorem and the truth on the web by Marija Slavkovik in VoxPublica
• „Ништо не е бесплатно – ние трампаме дел од нашето време и внимание“ by Ирена Трајковска in VezilkaMagazine

Doctoral students (main superviser)

• Than Htut Soe started in February 2018 and is a doctoral student on the BIA funded project Beter Video workflows via Real-Time Collaboration and AI-Techniques in TV and New Media. Soe's thesis explores the cooperation between AI methods and human interaction in video editing. Recent publication: Circumvention by design - dark patterns in cookie consent for online news outlets at NordiCHI 2020: 19:1-19:12.
• Mina Young Pedersen started in October 2019. Pederesen's thesis explores the interplay of logic reasoning and social networks. 

Past students

• Flavio Tisi (co-supervision with Sonja Smets). 
• Einar Søreide Johansen 
• Hanna Kubacka (co-supervision with Jan-Joachim Rückmann). Related publication: Predicting the winners of Borda, Kemeny and Dodgson elections with supervised machine learning  [pdf]

Courses:

• Spring 2022 INFO901Introduction to AI Ethics (graduate course)
• Automn 2021 AIKI100 Introduction to AI
• Spring 2021 INFO383 Research topics in AI ethics. 
• Automn 2020 INFO282 Knowledge representation and reasoning.
• Spring 2020 INFO381 Research Topics in AI. The topic of the course is AI Ethics.  Detailed program.
• Autumn 2019 INFO283 Basic Algorithms in Artificial Intelligence. 
• Spring 2019 INFO284 Machine Learning.
• Spring 2017 INFO381 Research Topics in AI. The topic of the course is Machine Ethics. Detailed program.
• Autumn 2016, 2017, 2018 INFO125 Data Management. 

Office hours are by appointment. 

 

 

2025

• Suárez Ferreira, Juliett; Slavkovik, Marija; Casillas, Jorge (2025). General procedure to measure fairness in regression problems. (external link)

2024

• Ivanovska, Magdalena; Slavkovik, Marija (2024). Probabilistic judgment aggregation with conditional independence constraints. (external link)
• Lahusen, Christian; Maggetti, Martino; Slavkovik, Marija (2024). Trust, trustworthiness and AI governance. (external link)
• Ozaki Rivera Castillo, Ana Helena; Rehman, Anum; Slavkovik, Marija (2024). Finding middle grounds for incoherent horn expressions: the moral machine case. (external link)

2023

• Ivanovska, Magdalena; Slavkovik, Marija (2023). Probabilistic Judgment Aggregation with Conditional Independence Constraints. (external link)
• Slavkovik, Marija (2023). Mythical Ethical Principles for AI and How to Attain Them. (external link)
• Sirin, Botan; de Haan, Ronald; Slavkovik, Marija et al. (2023). Egalitarian judgment aggregation. (external link)
• Pedersen, Mina Young; Slavkovik, Marija; Smets, Sonja (2023). Detecting bots with temporal logic. (external link)
• Pedersen, Marius Alexander; Guribye, Frode; Slavkovik, Marija (2023). Automatic Detection of Manipulative Consent Management Platforms and the Journey into the Patterns of Darkness. (external link)
• Liao, Beishui; Pardo, Pere; Slavkovik, Marija et al. (2023). The Jiminy Advisor: Moral Agreements among Stakeholders Based on Norms and Argumentation. (external link)

2022

• Primiero, Giuseppe; Slavkovik, Marija; Smets, Sonja (2022). Netreason: Reasoning about social networks. (external link)
• Dennis, Louise; Fu, Yu; Slavkovik, Marija (2022). Markov chain model representation of information diffusion in social networks. (external link)
• Soe, Than Htut; Slavkovik, Marija (2022). A content-aware tool for converting videos to narrower aspect ratios . (external link)
• Slavkovik, Marija (2022). Automating Moral Reasoning (Invited Paper). (external link)
• Fisher, Michael D.; Koenig, Sven; Slavkovik, Marija (2022). AI Journal Special Issue on Ethics for Autonomous Systems. (external link)
• Ivanovska, Magdalena; Slavkovik, Marija (2022). Probabilistic Judgement Aggregation by Opinion Update. (external link)
• Lujak, Marin; Slavkovik, Marija; Lebis, Alexis et al. (2022). Objective Tests in Automated Grading of Computer Science Courses: An Overview. (external link)
• Ovchinnikova, Maria; Ostnes, Daniel; Garshi, Arian et al. (2022). Smart Technology in the Classroom: Systematic Review and Prospects for Algorithmic Accountability. (external link)
• Galimullin, Rustam; Pedersen, Mina Young; Slavkovik, Marija (2022). Logic of Visibility in Social Networks. (external link)
• Edmond, Awad; Levine, Sydney; Anderson, Michael et al. (2022). Computational ethics. (external link)

See a complete overview of publications in Cristin.

For the freshest list of publications visit Marija's home page, and to see how other people use Marija's publications visit her Google Scholar profile page.

 

Ongoing: 

• MediaFutures: Research Centre for Responsible Media Technology & Innovation. Role: co-leader of WP2 – User Modeling, Personalisation & Engagement.

• Better Video workows via Real - Time Collaboration and AI - Techniques in TV and New Media. Funded by The Research Council of Norway. Type of project: User-driven Research based Innovation (BIA). Grant: NOK 8.4 million. Role: main supervisor of one of the two doctoral students hired on this project.
• The Machine Ethics Challenge to Artificial Intelligence and Society. Funded by the Strategic Programme for International Research Collaboration of the Univeristy of Bergen. Grant: NOK 75.000. Role: PI. The grant will support the establishment of a highly interdisciplinary international network of collaborators on the topic of machine ethics.

 

PAST

Marija Slavkovik is the project manager of a SAMKUL grant whose goal is to prepare funding proposals to explore the machine ethics issues in modern journalism. The first meeting of the network is held in Bergen, November 29-30. Results here.

Through the support of SPIRE from the Faculty of Social Sciences at the University of Bergen, Marija Slavkovik  was working to  establish an  international research network  that engages in developing the interdisciplinary research area of logic-based methods for  social network analysis in artificial intelligence (AI). Results here.