- 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.
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.
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 closed and the submissions are under review.
Slavkovik is in the editorial board of the Artificial Intelligence Review Journal associated editor of the 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.
Marija is involved in the organisation and running of AI Agora. The AI Agora is an initiative from the Department of Information Science and Media Studies, and constitutes a lecture and discussion series about artificial intelligence in theory and as applied science. AI Agora presents international guests as well as local speakers.
If you are in Bergen, work in AI and like to speak to a diverse audience, get in touch.
Marija is an active speaker on issues of AI and Ethics. See the Talks section for scheduled events or check out her podcast interview or her interview with the Tek-Lab. Alternativelly, follow her Twitter @MSlavkovik.
Doctoral students
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.
Mina Young Pedersen. Pedersen started in October 2019. Pederesen's thesis explores the interplay of logic reasoning and social networks.
Master students
- Flavio Tisi (co-supervision with Sonja Smests). The masters thesis explores formalisation and emergence of collective mental attitudes in social networked groups.
Past students
- Einar Søreide Johansen
- Hanna Kubacka (co-supervision with Jan-Joachim Rückmann)
The spring semester of 2020 Slavkovik will be the course responsible for INFO284 Machine Learning and teach the masters course INFO381 Research Topics in AI. The topic of the course is Machine Ethics.
The autumn semester of 2019 Slavkovik is teaching INFO283 Basic Algorithms in Artificial Intelligence.
The spring semester of 2019 Slavkovik will be teaching INFO284 Machine Learning.
The autumn semester of 2018 Slavkovik is teaching INFO125 Data Management.
Office hours are by appointment.
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.
- 2019. Improving Judgment Reliability in Social Networks via Jury Theorems. Lecture Notes in Computer Science (LNCS). 230-243.
- 2019. Autonomous yet moral machines. CEUR Workshop Proceedings.
- 2019. Aggregating Probabilistic Judgments. Electronic Proceedings in Theoretical Computer Science. 273-292.
- 2018. Classifying the autonomy and morality of artificial agents. CEUR Workshop Proceedings. 67-83.
- 2018. Aggregation of probabilisitic logically related judgments. NIKT: Norsk IKT-konferanse for forskning og utdanning.
- 2017. `How did they know?' Model-checking for analysis of information leakage in social networks. Lecture Notes in Computer Science (LNCS). 42-59.
- 2017. The Norwegian Oil Fund Investment Decider N.O.F.I.D. NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi.
- 2017. Implementing Asimov’s First Law of Robotics. NIKT: Norsk IKT-konferanse for forskning og utdanning.
- 2017. A partial taxonomy of judgment aggregation rules and their properties. Social Choice and Welfare. 327-356.
- 2017. A modified Vickrey auction with regret minimization for uniform alliance decisions. Studies in Computational Intelligence. 61-72.
- 2016. Iterative judgment aggregation. Frontiers in Artificial Intelligence and Applications. 1528-1536.
- 2016. Formal verification of ethical choices in autonomous systems. Robotics and Autonomous Systems. 1-14.
- 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.
- 2015. An abstract formal basis for digital crowds. Distributed and parallel databases. 3-31.
- 2014. Not all judgment aggregation should be neutral. CEUR Workshop Proceedings. 198-211.
- 2014. Measuring Dissimilarity between Judgment Sets. Lecture Notes in Computer Science (LNCS). 609-617.
- 2014. How Hard is it to compute majority-preserving judgment aggregation rules? Frontiers in Artificial Intelligence and Applications. 501-506.
- 2014. Ethical Choice in Unforeseen Circumstances. Lecture Notes in Computer Science (LNCS). 433-445.
- 2014. A weakening of independence in judgment aggregation: agenda separability. Frontiers in Artificial Intelligence and Applications. 1055-1056.
- 2016. Engineering Moral Agents - from Human Morality to Artificial Morality (Dagstuhl Seminar 16222). 5. 5. .
- 2014. A tutorial in judgment aggregation.
- 2019. What we talk about when we talk about AI and Ethics.
- 2019. Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders.
- 2019. April 22 – 26 , 2019, Dagstuhl Seminar 19171 Ethics and Trust: Principles, Verification and Validation.
- 2019. Answer Set Programming for Judgment Aggregation.
- 2017. Who's a good robot.
- 2017. Towards moral autonomous systems.
- 2017. Engineering Machine Ethics.
- 2014. JA4AI - Judgment Aggregation for Artificial Intelligence (Dagstuhl Seminar 14202). Dagstuhl Reports. 27-39.
- 2019. Multi-Agent Systems - 16th European Conference, EUMAS 2018, Bergen, Norway, December 6-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11450. Springer Nature.
- 2017. Condorcet's jury theorem and the truth on the web. Vox publica.
- 2018. Machines That Know Right And Cannot Do Wrong: The Theory and Practice of Machine Ethics. The IEEE Intelligent Informatics Bulletin. 8-11.
- 2016. Dagstuhl Manifesto - Engineering Moral Machines. Informatik-Spektrum.
- 2019. The Complexity of Elections with Rational Actors. 3 pages.
- 2019. Answer Set Programming for Judgment Aggregation. 7 pages.
- 2018. On the Distinction between Implicit and Explicit Ethical Agency. 7 pages.
- 2017. Formal Models of Conflicting Social Influence. 17 pages.
- 2017. Complexity Results for Aggregating Judgments using Scoring or Distance-Based Procedures. 10 pages.
- 2014. A Judgment Set Similarity Measure Based on Prime Implicants. 2 pages.
- 2013. Some complexity results for distance-based judgment aggregation. 13 pages.
- 2013. Judgment Aggregation Rules and Voting Rules. 14 pages.
More information in national current research information system (CRIStin)
I am giving/have given a talk at the following events:
30 Sept- 2 Oct 2019 Explainable Intelligent Systems (EIS) workshop, University of Saarbrucken.
21-22 May 2019 1st Airbus Workshop on Ethics in Artificial Intelligence.
10-12 May 2019. Cyprus Meeting on Behaviors and Algorithms. University of Cyprus.
29 April 2019. Christiekonferansen 2019. University of Bergen. Keynote.
11-12 April 2019. Citizenship in a Networked Age. St Anne’s College, University of Oxford.
10-15 March 2019. Dagstuhl Seminar 19112: Engineering Reliable Multiagent Systems.
27-28 January 2019. AAAI/ACM Conference on Artificiall Intelligence, Ethics and Society. Contributed.
13-15 December 2018. TriCoLore 2018 Creativity — Cognition — Computation. University of Bozen-Bolzano. Keynote.
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.