The Socio-Legal Relevance of Artificial Intelligence (report)

Research output: Book/ReportReport


The report draws on socio-legal theory in relation to growing concerns over fairness, accountability and transparency of societally applied artificial intelligence (AI) and machine learning. The purpose is to contribute to a broad socio-legal orientation by describing legal and normative challenges posed by applied AI. To do so, the article first analyses a set of problematic cases, e.g. image recognition based on gender-biased data-bases. It then presents seven aspects of transparency that may complement notions of explainable AI within computer scientific AI-research. The article finally discusses the normative mirroring effect of using human values and societal structures as training data for learning technologies and concludes by arguing for the need for a multidisciplinary approach in AI research, development and governance.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Science
  • Law and Society


  • Socio-legal relevance of AI, Transparency in AI, Sociology of law, Technology and society, Fairness in AI, Accountability in AI, The normative mirroring effect
Original languageSwedish
Place of PublicationStockholm
PublisherAI Sustainability Center
Number of pages40
Publication statusPublished - 2019 Dec 3
Publication categoryResearch
EventGeneral Insights - AI, transparency & the legal implications - Lindholmen Science Park, Göteborg, Sweden
Duration: 2019 Dec 32019 Dec 3,-transparency-and-the-legal-implications.aspx

Bibliographic note

Stefan Larsson is a lawyer (LLM) and Associate Professor in Techno- logy and Social Change at Lund University, Department of Technology and Society. He holds a PhD in Sociology of Law as well as a PhD in Spatial Planning. In addition, Dr. Larsson is a senior researcher and head of the Digital Society program at the Swedish think tank Fores and scientific advisor for the Swedish Consumer Agency as well as the AI Sustainability Center. His research focuses on issues of trust and transparency on dig- ital, data-driven markets, and the socio-legal impact of autonomous and AI-driven technologies.

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