• Addressing the ethical principles of the Norwegian National Strategy for AI in a kindergarten allocation system 

      Botnevik, Stian; Belinskiy, Andrey; Asotic, Edis; Platou, Herman Stoud; Søvik, Thomas; Slavkovik, Marija (Chapter, 2020)
      The Norwegian National Strategy for Artificial Intelligence (NNSAI) published in 2020 includes seven principles of ethical AI. This paper explores whether those seven principles are stated in a clear enough way and are ...
    • Aggregating Probabilistic Judgments 

      Ivanovska, Magdalena; Slavkovik, Marija (Peer reviewed; Journal article, 2019-07-22)
      In this paper we explore the application of methods for classical judgment aggregation in pooling probabilistic opinions on logically related issues. For this reason, we first modify the Boolean judgment aggregation framework ...
    • Autonomous yet moral machines 

      Slavkovik, Marija (Peer reviewed; Journal article, 2019)
      Autonomous machines, both software and embodied artificial intelligent (AI) agents, will continue to relieve us of the burden that are monotone, repetitive, or dangerous tasks. The more autonomous machines inhabit our ...
    • Bias mitigation with AIF360: A comparative study 

      Hufthammer, Knut T.; Aasheim, Tor H.; Ånneland, Sølve; Brynjulfsen, Håvard; Slavkovik, Marija (Chapter, 2020)
      The use of artificial intelligence for decision making raises concerns about the societal impact of such systems. Traditionally, the product of a human decision-maker are governed by laws and human values. Decision-making ...
    • The Complexity Landscape of Outcome Determination in Judgment Aggregation 

      Endriss, Ulle; de Haan, Ronald; Lang, Jérôme; Slavkovik, Marija (Journal article; Peer reviewed, 2020)
      We provide a comprehensive analysis of the computational complexity of the outcome determination problem for the most important aggregation rules proposed in the literature on logic-based judgment aggregation. Judgment ...
    • Improving Judgment Reliability in Social Networks via Jury Theorems 

      Galeazzi, Paolo; Rendsvig, Rasmus K; Slavkovik, Marija (Journal article; Peer reviewed, 2019)
      Opinion aggregators—such as ‘like’ or ‘retweet’ counters—are ubiquitous on social media platforms and often treated as implicit quality evaluations of the entry liked or retweeted, with higher counts indicating higher ...
    • Teaching AI Ethics: Observations and Challenges 

      Slavkovik, Marija (Chapter, 2020)
      This report summarises the experience in teaching Artificial Intelligence (AI) Ethics as an elective masters level course at the University of Bergen. The goal of the summary is twofold: 1) to draw lessons for teaching ...