- E-mailMarija.Slavkovik@uib.no
- Phone+47 55 58 23 77
- Visitor AddressFosswinckelsgt. 6Room613
- Postal AddressPostboks 78025020 Bergen
Marija Slavkovik is an associate 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.
The BAIA-Lab consolidates the Bergen Artificially Intelligent Agents research activites. Slavkovik is a member and current chair of the Lab.
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 is the chair and host of the 16th European Conference on Multi-Agent Systems EUMAS held December 6-7, 2018 in Bergen. You are too late for submissions, but you can register to participate.
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 is co-organising 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. The call for papers is open.
The autumn semester of 2018 Slavkovik is teaching INFO125 Data Management.
The spring semester of 2019 Slavkovik will be teaching INFO284 Machine Learning.
Office hours are by appointment.
Doctoral student
Marija Slavkovik is the main supervisor of Than Htut Soe. 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.
Master students
- Arild Pensgaard. The masters thesis explores the intesections between politics and web interaction.
- Hanna Kubacka (co-supervision with Jan-Joachim Rückmann). The masters thesis explores the machine learnability of voting rules.
Past students
- Einar Søreide Johansen
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.
- 2018. Classifying the autonomy and morality of artificial agents. CEUR Workshop Proceedings. 2051: 67-83.
- 2017. Implementing Asimov’s First Law of Robotics. NIK: Norsk Informatikkonferanse. Published 2017-11-23.
- 2017. `How did they know?' Model-checking for analysis of information leakage in social networks. Lecture Notes in Computer Science. 10315 LNAI: 42-59. doi: 10.1007/978-3-319-66595-5_3
- 2017. A partial taxonomy of judgment aggregation rules and their properties. Social Choice and Welfare. 48: 327-356. doi: 10.1007/s00355-016-1006-8
- 2017. A modified Vickrey auction with regret minimization for uniform alliance decisions. Studies in Computational Intelligence. 737: 61-72. doi: 10.1007/978-3-319-66379-1_6
- 2017. Condorcet's jury theorem and the truth on the web. Vox publica. Published 2017-03-15.
- 2017. The Norwegian Oil Fund Investment Decider N.O.F.I.D. NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi. 25. Published 2017-11-24.
- 2016. Formal verification of ethical choices in autonomous systems. Robotics and Autonomous Systems. 77: 1-14. doi: 10.1016/j.robot.2015.11.012
- 2016. Dagstuhl Manifesto - Engineering Moral Machines. Informatik-Spektrum. doi: doi:10.1007/s00287-016-0998-x
- 2016. Agenda Separability in Judgment Aggregation. PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE. 1016-1022.
- 2016. Iterative judgment aggregation. Frontiers in Artificial Intelligence and Applications. 285: 1528-1536. doi: 10.3233/978-1-61499-672-9-1528
- 2015. An abstract formal basis for digital crowds. Distributed and parallel databases. 33: 3-31. doi: 10.1007/s10619-014-7161-y
- 2014. Ethical Choice in Unforeseen Circumstances. Lecture Notes in Computer Science. 433-445. doi: 10.1007/978-3-662-43645-5_45
- 2014. JA4AI - Judgment Aggregation for Artificial Intelligence (Dagstuhl Seminar 14202). Dagstuhl Reports. 4: 27-39. doi: 10.4230/DagRep.4.5.27
- 2014. How Hard is it to compute majority-preserving judgment aggregation rules? Frontiers in Artificial Intelligence and Applications. 263: 501-506. doi: 10.3233/978-1-61499-419-0-501
- 2014. A weakening of independence in judgment aggregation: agenda separability. Frontiers in Artificial Intelligence and Applications. 263: 1055-1056. doi: 10.3233/978-1-61499-419-0-1055
- 2014. Not all judgment aggregation should be neutral. CEUR Workshop Proceedings. 1283: 198-211. Published 2014-11-05.
- 2014. Measuring Dissimilarity between Judgment Sets. Lecture Notes in Computer Science. 8761: 609-617. doi: 10.1007/978-3-319-11558-0_44
- 2016. Engineering Moral Agents - from Human Morality to Artificial Morality (Dagstuhl Seminar 16222). Dagstuhl Reports. 6: 5. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany. 23 pages.
- 2017. Formal Models of Conflicting Social Influence. Article, pages 349-365. In:
- 2017. {PRIMA} 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings. Springer Publishing Company. 541 pages. ISBN: 978-3-319-69130-5.
- 2017. Complexity Results for Aggregating Judgments using Scoring or Distance-Based Procedures. Article, pages 952-961. In:
- 2017. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, {AAMAS} 2017, S{\~{a}}o Paulo, Brazil, May 8-12, 2017. The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 1876 pages. ISBN: 978-1-4503-4239-1.
- 2014. A Judgment Set Similarity Measure Based on Prime Implicants. Poster session, pages 1573-1574. In:
- 2014. Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems. The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 1752 pages. ISBN: 978-1-4503-2738-1.
- 2013. Some complexity results for distance-based judgment aggregation. Chapter, pages 313-325. In:
- 2013. AI 2013: Advances in Artificial Intelligence 26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings. 516 pages. ISBN: 978-3-319-03679-3.
- 2013. Judgment Aggregation Rules and Voting Rules. Chapter, pages 230-243. In:
- 2013. Algorithmic Decision Theory Lecture Notes in Computer Science. 270 pages. ISBN: 978-3-642-41574-6.
More information in national current research information system (CRIStin)
Through the support of SPIRE from the Faculty of Social Sciences at the University of Bergen, Marija Slavkovik is currently 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). Follow updates here.
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. Follow updates here.