The ELSA lab (Ethical, Legal and Social Aspects) at Wageningen University & Research develops, tests, and applies a methodology for (re)designing AI making it responsible and trustworthy. We work closely together with various commercial and non-commercial stakeholders and societal representatives.
The ELSA research provides insights into which ELSA Aspects are most applicable in agri-food and areas for improvement (see Publications). For example, there is often uncertainty about who owns data, algorithms, and technologies: the user or the developer. Clear data governance agreements are needed to define who has decision-making authority and who provides consent for data use. Although companies may legally own or use data for model training, there is a strong emphasis on transparency, informed consent, and secure data handling. At the same time, the value of data and the rights associated with it are continuously evolving, with future challenges expected due to increasing complexity in data management and growing awareness among stakeholders. Scaling to multiple locations or applications therefore requires robust, secure, and practical data management solutions.
ELSA research about aspects like these has become well known and aims to enhance responsible and trustworthy AI and digitalisation in agri-food through various national and EU projects (link).
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