The Socio-Legal Relevance of Artificial Intelligence
Open accessAbstract
L’article propose une analyse sociojuridique des questions d’équité, de responsabilité et de transparence posées par les applications d’intelligence artificielle (IA) employées actuellement dans nos sociétés et de machine learning . Pour rendre compte de ces défis juridiques et normatifs, nous analysons des cas problématiques, comme la reconnaissance d’images fondée sur des bases de données qui présentent des biais de genre. Nous envisageons ensuite sept aspects de la transparence qui permettent de compléter les notions d’ explainable AI (XAI) dans la recherche en sciences informatiques. L’article examine aussi l’effet de miroir normatif provoqué par l’usage des valeurs humaines et des structures sociétales comme données d’entraînement pour les technologies d’apprentissage. Enfin, nous plaidons pour une approche multidisciplinaire dans la recherche, le développement et la gouvernance en matière d’IA.
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The expert group recommends a risk-based approach that is proportional and effective in guaranteeing that AI is legal, ethical, and robust in its adaptation to fundamental rights.
“In relation to the investment and policy recommendations also published by the expert group, it recommends features such as a risk-based approach that is both proportional and effective in guaranteeing that AI is legal, ethical, and robust in its adaptation to fundamental rights.39”
From On the Governance of Artificial Intelligence through Ethics Guidelines (2020) · cites this paper as [39]
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Research works printed but not linked: 11
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- Marco T. BASTOS and Dan MERCEA, "The Brexit Botnet and User-Generated Hyperpartisan News", Social Science Computer Review, 2017, <https://doi.org/10.1177/0894439317734157>. · DOI
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- Cf. Nicholas DIAKOPOULOS, "Algorithmic Accountability: Journalistic Investigation of Computational Power Structures", Digital Journalism, 3 (3), 2015, p. 398-415.
- LARSSON, "Algorithmic Governance and the Need for Consumer Empowerment in Data-driven Markets", Internet Policy Review, 7 (2), 2018, p. 1-12.
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AI and international law -Legal personality and avenues for regulationPreprint
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Singh, K., Kaur, H., Kaushik, A., Trehan, S., & Kaur, R. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-3-032-20318-2_48
- Authors
- Larsson, S.
- Affiliations
- Lund University (SE)
- Corresponding author
- Larsson, Stefan
- ORCID
- Larsson, Stefan
- Venue
- Droit et société
- Publisher
- CAIRN
- Published
- 2019-11-29
- Volume
- N° 103
- Issue
- 3
- Pages
- 573-593
- ISSN
- 0769-3362 (ISSN-L)
- OpenAlex
- W2970177275
- Cited by
- 43
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 7 · 2023: 17 · 2022: 10 · 2021: 3 · 2020: 2
- FWCI
- 6.56
- Type
- journal article
- Language
- fr
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Droit et société (publishedVersion, other-oa)
- Lund University Publications (Lund University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Keywords
- artificial intelligence, machine learning, algorithmic fairness, liability, transparency, explainable AI, training data bias, AI governance, socio-legal issues
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