AI explainability in practice: implementation of the EU AI Act’s explainability requirements by AI providers in the agricultural sector

Eveline van Beem

AI explainability in practice: implementation of the EU AI Act’s explainability requirements by AI providers in the agricultural sector

Vertaalde titel van de bijdrage: Uitlegbaarheid van AI in de praktijk: implementatie van de uitlegbaarheidsvereisten van de EU AI-Verordening door AI aanbieders in de landbouwsector

Eveline van Beem

Juridische Aspecten van Ondernemerschap

Rijksuniversiteit Groningen, Faculteit Rechtsgeleerdheid

Onderzoeksoutput: Abstract › Academic

Vertaalde titel van de bijdrage	Uitlegbaarheid van AI in de praktijk: implementatie van de uitlegbaarheidsvereisten van de EU AI-Verordening door AI aanbieders in de landbouwsector
Originele taal-2	English
Aantal pagina's	2
Status	Submitted - 19 feb. 2026
Evenement	Law, AI and Regulation Conference 2026 (LAIR) - Erasmus University Rotterdam, Rotterdam, Netherlands Duur: 11 jun. 2026 → 12 jun. 2026 https://www.eur.nl/en/esl/events/law-ai-and-regulation-lair-conference-2026-2026-06-11

Conference

Conference	Law, AI and Regulation Conference 2026 (LAIR)
Verkorte titel	LAIR
Land/Regio	Netherlands
Stad	Rotterdam
Periode	11/06/26 → 12/06/26
Internet adres	https://www.eur.nl/en/esl/events/law-ai-and-regulation-lair-conference-2026-2026-06-11

Keywords

recht
IT-recht
recht en IT
juridisch onderzoek
uitlegbaarheid
agrarische sector
explainable AI
AI verordening
kunstmatige intelligentie
AI

Research Focus Areas Hanze University of Applied Sciences

Ondernemerschap

Research Focus Areas Research Centre or Centre of Expertise

Ondernemerschap
Digitale Transformatie

Publinova thema's

Economie en Management
ICT & Media
Recht
Mens en Maatschappij
Techniek

Uitlegbaarheid (explainability) van AI-systemen in de Europese digitale landbouw vanuit juridisch perspectief
van Beem, E. (PI), Mulder, T. (CoI) & Mifsud Bonnici, G. P. (CoI)
1/09/24 → 31/08/28
Project: PHD Onderzoek
DigiAgro
Groenboom, R. (PI), van Haren, R. (PI), Mulder, T. (PI), Coppens, C. (CoI) & van Beem, E. (CoI)
1/01/24 → 31/08/26
Project: Research

Citeer dit

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keywords = "law, IT law, legal research, explainability, explainable AI, agricultural sector, ai, artificial intelligence, AI Act, recht, IT-recht, recht en IT, juridisch onderzoek, uitlegbaarheid, agrarische sector, explainable AI, AI verordening, kunstmatige intelligentie, AI",

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T1 - AI explainability in practice

T2 - Law, AI and Regulation Conference 2026 (LAIR)

AU - van Beem, Eveline

PY - 2026/2/19

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KW - law

KW - IT law

KW - legal research

KW - explainability

KW - explainable AI

KW - agricultural sector

KW - ai

KW - artificial intelligence

KW - AI Act

KW - recht

KW - IT-recht

KW - recht en IT

KW - juridisch onderzoek

KW - uitlegbaarheid

KW - agrarische sector

KW - explainable AI

KW - AI verordening

KW - kunstmatige intelligentie

KW - AI

M3 - Abstract

Y2 - 11 June 2026 through 12 June 2026

ER -

AI explainability in practice: implementation of the EU AI Act’s explainability requirements by AI providers in the agricultural sector

Conference

Keywords

Research Focus Areas Hanze University of Applied Sciences

Research Focus Areas Research Centre or Centre of Expertise

Publinova thema's

Projecten

Uitlegbaarheid (explainability) van AI-systemen in de Europese digitale landbouw vanuit juridisch perspectief

DigiAgro

Citeer dit