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 analyzes 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 (XAI) within AI-research undertaken by computer scientists. The article finally discusses the normative mirroring effect of using human values and societal structures as training data for learning technologies; it concludes by arguing for the need for a multidisciplinary approach in AI research, development, and governance.
Details
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| Research areas and keywords |
- Algorithmic accountability and normative design, Applied artificial intelligence, Explainable AI and algorithmic transparency, Machine learning and law, Technology and Social change
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| Original language | English |
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| Pages (from-to) | 573 |
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| Number of pages | 593 |
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| Journal | Droit et Société |
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| Volume | 103 |
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| Issue number | 3 |
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| Publication status | Published - 2019 Dec 11 |
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| Publication category | Research |
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| Peer-reviewed | Yes |
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Bibliographic note
Stefan Larsson is a lawyer (LLM) and Associate Professor in Technology 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 digital, data-driven markets, and the socio-legal impact of autonomous and AI-driven technologies. Among his publications:
— “Algorithmic Governance and the Need for Consumer Empowerment in Data-Driven Markets”, Internet Policy Review, 7 (2), 2018.
— Conceptions in the Code. How Metaphors Explain Legal Challenges in Digital Times, Oxford: Oxford University Press, 2017.
Related research output
Stefan Larsson,
2021, (Accepted/In press)
The European Union and the Technology Shift. Bakardjieva Engelbrekt, A., Leijon, K., Michalski, A. & Oxelheim, L. (eds.). Cham:
Springer Nature Switzerland AG, (Palgrave Macmillan).
Research output: Chapter in Book/Report/Conference proceeding › Book chapter
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Related projects
Stefan Larsson
The Swedish Retail and Wholesale Council (Handelsrådet)
2018/09/01 → 2021/03/31
Project: Research › Collaboration with industry
Jonas Björk, Mattias Ohlsson, Olle Melander, Ulf Ekelund, Stefan Larsson, Titti Mattsson, Arash Mokhtari, Katja de Vries, Anton Nilsson, Markus Lingman, Sepideh Pashami, Filip Ottosson, Anna E Larsson, Anne Henriksen, Charlotte Högberg, Max Olsson, Axel Nyström, Pontus Olsson de Capretz, Anders Björkelund, Anton Nilsson, Anna Åkesson, Ana Nordberg & Magnus Ekström
2018/07/01 → 2021/06/30
Project: Research › Interdisciplinary research, Clinical research
View all (4)
Related activities
Larsson, S. (Keynote/plenary speaker), Laetitia Tanqueray (Chair)
2020 Oct 22
Activity: Talk or presentation › Invited talk
Larsson, S. (Interviewee), Fredrik Heintz (Interviewee)
2020 May 8
Activity: Other › Media participation
Larsson, S. (Interviewee)
2020 Feb 26
Activity: Other › Media participation
View all (16)
