• 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 ...
    • Automatic Detection of Manipulative Consent Management Platforms and the Journey into the Patterns of Darkness 

      Pedersen, Marius Alexander; Guribye, Frode; Slavkovik, Marija (Chapter, 2023)
      We study how to automatically classify different types of manipulative interface design pattern for Content Management Platforms (CMPs), also known as a cookie consents. Our approach uses a scraper to extract different ...
    • 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 ...
    • Computational ethics 

      Edmond, Awad; Levine, Sydney; Anderson, Michael; Susan Leigh, Anderson; Conitzer, Vincent; Crockett, M.J.; Everett, Jim A.C.; Evgeniou, Theodoros; Gopnik, Alison; Jamison, Julian C.; Kim, Taw Wan; Liao, S. Matthew; Meyer, Michelle N.; Mikhail, John; Opoku-Agyemang, Kweku; Schaich Borg, Jana; Schroeder, Juliana; Sinott-Armstrong, Walter; Slavkovik, Marija; Tenenbaum, Josh B. (Journal article; Peer reviewed, 2022)
      Technological advances are enabling roles for machines that present novel ethical challenges. The study of 'AI ethics' has emerged to confront these challenges, and connects perspectives from philosophy, computer science, ...
    • Detecting bots with temporal logic 

      Pedersen, Mina Young; Slavkovik, Marija; Smets, Sonja (Journal article; Peer reviewed, 2023)
      Social bots are computer programs that act like human users on social media platforms. Social bot detection is a rapidly growing field dominated by machine learning approaches. In this paper, we propose a complementary ...
    • Egalitarian judgment aggregation 

      Sirin, Botan; de Haan, Ronald; Slavkovik, Marija; Terzopoulou, Zoi (Journal article; Peer reviewed, 2023)
      Egalitarian considerations play a central role in many areas of social choice theory. Applications of egalitarian principles range from ensuring everyone gets an equal share of a cake when deciding how to divide it, to ...
    • 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 ...
    • The Jiminy Advisor:Moral Agreements among StakeholdersBased on Norms and Argumentation 

      Liao, Beishui; Pardo, Pere; van der Torre, Leendert; Slavkovik, Marija (Journal article; Peer reviewed, 2023)
      An autonomous system is constructed by a manufacturer, operates in a society subject to norms and laws, and interacts with end users. All of these actors are stakeholders affected by the behavior of the autonomous system. ...
    • Markov chain model representation of information diffusion in social networks 

      Dennis, Louise; Fu, Yu; Slavkovik, Marija (Journal article; Peer reviewed, 2022)
      The spread of information in a social network has received renewed interest as social media becomes an increasingly popular channel of communication. We are interested in the phenomenon of social diffusion of a piece of ...
    • The social dilemma in artificial intelligence development and why we have to solve it 

      Strümke, Inga; Slavkovik, Marija; Madai, Vince Istvan (Journal article; Peer reviewed, 2021)
      While the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We argue that a possible underlying cause ...
    • 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 ...