In het rapport ‘Artificiële Intelligentie en passende zorg’ van het Zorginstituut Nederland worden kansen en uitdagingen van AI binnen de zorg belicht. Artificiële Intelligentie (AI) biedt ook talrijke mogelijkheden voor de medisch specialistische revalidatiezorg (MSR). Aan de hand van dit rapport beschouwen …

Artificial Intelligence (AI) offers promising opportunities for innovating the field of medical imaging, yet its practical implementation remains limited. Two important reasons for this are strict legislation and the unavailability of data, partly due to patient privacy. Synthetic data (SD) could offer …

Consistency issues limit the sharing of horticultural data across multiple systems, resulting in challenges for users to analyze data effectively across various systems utilizing artificial intelligence technology. Introducing data governance principles can help standardize and unify data practices, …

Artificial intelligence-driven technology increasingly shapes work practices and, accordingly, employees’ opportunities for meaningful work (MW). In our paper, we identify five dimensions of MW: pursuing a purpose, social relationships, exercising skills and self-development, autonomy, self-esteem and …

This thesis researches the values threatened due to data and AI development and application in the Netherlands. This is related to what should be written in an oath for the Dutch data professional to promote these values and lower the threat to these values. Following the Design Science Methodology and …

Artificial Intelligence (AI) beïnvloedt het leven en werk van iedereen en vraagt daarmee doelgerichte aanpassingen aan bachelorcurricula en het handelingsrepertoire van docenten. In Comenius Leadership-project ‘AI4Students’ wordt in participatief actie-onderzoek een methodiek ontwikkeld waarmee teams …

Large language models in healthcare: from vision to practicePromoting innovation through multi-stakeholder perspectivesArtificial intelligence (AI)-driven language models offer unprecedented opportunities for innovation and optimisation. Delve into the transformative impact of Large Language Models (LLMs) …

This paper presents a case study about the responsible design of a recommender system of a prominent Dutch Public Service Media (PSM) organization, combining personalized content recommendations to users while aligning with the organization’s overarching mission of fostering diversity. A conceptual framework …

Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also …

One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …