The Socio-Legal Relevance of Artificial Intelligence

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The Socio-Legal Relevance of Artificial Intelligence. / Larsson, Stefan.

I: Droit et Société, Vol. 103, Nr. 3, 23.08.2019, s. 1.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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TY - JOUR

T1 - The Socio-Legal Relevance of Artificial Intelligence

AU - Larsson, Stefan

N1 - In forthcoming special issue “Le droit à l’épreuve des algorithmes”, Droit et société, 103(3) (Ed. by Dubois C. & Schoenaers F.), 2019.

PY - 2019/8/23

Y1 - 2019/8/23

N2 - 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.

AB - 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.

KW - applied artificial intelligence

KW - AI and normativity

KW - algorithmic accountability and normative design

KW - AI transparency

KW - AI & society

KW - FAT

KW - Sociology of Law

M3 - Artikel i vetenskaplig tidskrift

VL - 103

SP - 1

JO - Droit et Société

T2 - Droit et Société

JF - Droit et Société

IS - 3

ER -