Jennifer Pullen
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Pullen
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Jennifer
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jennifer.pullen@unisg.ch
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+41 71 224 3074

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  • Publication
    Towards a Liability Framework For AI in Europe
    ( 2022-03)
    Buiten, Miriam Caroline
    ;
    Pullen, Jennifer orcid-logo
    AI regulation is one of the hot topics of today. In the EU, the European Commission and the European Parliament suggest introducing strict liability rules on operators of high-risk AI systems. To create a suitable liability regime, we must consider what makes AI systems different from their non-AI-counterparts. In our article, we identify AI’s novel approach to problem-solving and the potential for (semi-)autonomous decision-making as key issues for liability. However, the deployment of AI per se will not prove necessarily riskier than the human alternative – in contrast, it might actually be safer. Introducing strict liability is usually justified when the regulated activity poses an inherent risk despite the application of reasonable care. This stands in contradiction with the generally safer use of AI. The dangers posed by AI for liability do not necessarily coincide with cases associated with inherent riskier situations regulated by strict liability regimes. In our article, we argue that when formulating a liability regime for AI, we need to consider which aspects of AI prove particularly challenging to liability. More specifically, we need to evaluate whether introducing strict liability for specific AI systems is always appropriate, especially when taking into account that deploying AI does not necessarily pose the inherent risks usually regulated by strict liability regimes.
    Type: journal article
    Journal: TechREG Chronicle
    URL: http://www.competitionpolicyinternational.com/towards-a-liability-framework-for-ai-in-europe/
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/108911
  • Publication
    Artificial Intelligence for human flourishing: the case of AI-driven social welfare systems
    ( 2022-11-22)
    Fruy, Gaëlle
    ;
    Pullen, Jennifer orcid-logo
    ;
    Shahlaei, Charlotte
    ;
    Soydaş, Asena
    ;
    Viktorova, Monika
    An increasing number of public authorities are turning to Artificial Intelligence (AI) applications for help. Since addressing social problems is a vital government function, realising the potential of AI in the social welfare domain could produce major social gains. Nevertheless, the use of AI systems in this domain does not come without its challenges. In this blog post, we discuss the main concerns raised by AI-driven social welfare and point out possible mitigation measures to counter these concerns.
    Type: digital resource
    URL: https://www.law.kuleuven.be/ai-summer-school/AI-social-welfare
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/108052