The Socio-Legal Relevance of Artificial Intelligence (report)

Forskningsoutput: Bok/rapportRapport

Abstract

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.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Datavetenskap (datalogi)
  • Juridik och samhälle

Nyckelord

Originalspråksvenska
UtgivningsortStockholm
FörlagAI Sustainability Center
Antal sidor40
StatusPublished - 2019 dec 3
PublikationskategoriForskning
EvenemangGeneral Insights - AI, transparency & the legal implications - Lindholmen Science Park, Göteborg, Sverige
Varaktighet: 2019 dec 32019 dec 3
https://www.chalmers.se/en/centres/chair/events/Pages/General-Insights---AI,-transparency-and-the-legal-implications.aspx

Nedladdningar

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Stefan Larsson, 2019 dec 11, I : Droit et Société. 103, 3, s. 573 593 s.

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