The Socio-Legal Relevance of Artificial Intelligence

Research output: Contribution to journalArticle

Abstract

This article 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 databases. 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.

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Subject classification (UKÄ) – MANDATORY

  • Law
  • Computer Science

Keywords

Original languageSwedish
Pages (from-to)1
Number of pages21
JournalDroit et Société
Volume103
Issue number3
Publication statusAccepted/In press - 2019 Aug 23
Publication categoryResearch
Peer-reviewedYes

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