• Alf Rehn

    Professor, Section Head, SDU

    Bio:  Alf Rehn is a professor of innovation, design and management at the Department of Technology and Innovation, University of Southern Denmark. His research interests include issues of the interrelation between innovation and sociocultural forces as well as the power-knowledge relations in novel technologies.   Title of presentation:  Black-boxing the future – algorithmic bias in open-ended systems with long-term externalities   Abstract of presentation:  Much of the discussion regarding algorithmic bias deals with issues that are immediately present – such as when facial recognition systems are affected by racial bias. This attention might, however, blind us to long-term effects, such as technological lock-ins and other path dependencies. How are we to deal with biases that might not be readily evident until years or decades after the fact?

    Speaker for following sessions
    • Conference Hall
      30-11-2 -
      Organized by RUC

      Machine learning algorithms may become biased because of the data they are trained on or the way they are coded, thereby delimiting the ethics of technological innovation. On the one hand, bias represents a key challenge to the development of responsible AI. On the other hand, identifying and revaluating bias in data and code might offer technological solutions to social problems. In this session, we discuss the challenges and potentials of working with algorithmic bias.

      Program:

      Introduction: Sine N. Just, Professor, RUC
      Scientific Talk: “Bias in machine learning: let the one without bias cast the first stone” Christina Lioma, Professor, University of Copenhagen, Dept. Computer Science
      Business Talk:  “Why tech companies should lead in advancing responsible” AI Mikael Ekman, Director of Public Policy, Microsoft Denmark & Iceland
      Business Talk: “Infrastructures for AI fairness and trust”, Meeri Haataja,  CEO & Co-Founder, Saidot
      Scientific Talk: “Black-boxing the future – algorithmic bias in open-ended systems with long-term externalities”, Alf Rehn, Professor, University of Southern Denmark
      Debate: “What are the challenges of and opportunities for working with algorithmic bias?”, moderator: Sine N. Just, Professor, RUC

      Session coordinator: Sine Nørholm Just, RUC
      Facilitator: Sine Nørholm Just, RUC

       
      Algorithmic bias: What is it? How can we work with it?
      16:30 - 30-11-2021 To most people [present at Digital Tech Summit least], the big question is not whether Tech should play a crucial role in ensuring a sustainable future. It’s rather how we should do it, how we make sure Tech is used in ways so that we don’t loose sight of Humanity and the World and its creatures. Is Humans First a concept we need, and if so, for how long? Follow and contribute to the conversation where we address the bigger objectives as well as the smaller steps we need to take, individually as well as collectively, in Denmark as well as in Europe.
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