Emergency responders (ERs) work in dynamic, complex, and unpredictable environments. The integration of increasingly advanced sensor and artificial intelligence technology affects the work processes and decision-making of ERs and leads to new challenges regarding efficient and responsible human-AI cooperation. …

Artificial intelligence (AI) is transforming language access services in healthcare, making interpretation and translation faster and more scalable than ever before. Given that there are approximately 281 million international migrants as of 2024 [1], leveraging AI technology for mitigating language …

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; …

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; …

Fire fighters operate in a dangerous, dynamic, and complex environment. Artificial Intelligence (AI) systems can contribute to improve fire fighters’ situation awareness and decision-making. However, the introduction of AI systems needs to be done responsibly, taking (human) values into account, especially …

The report from Inholland University is dedicated to the impacts of data-driven practices on non-journalistic media production and creative industries. It explores trends, showcases advancements, and highlights opportunities and threats in this dynamic landscape. Examining various stakeholders' perspectives …

Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. …

This presentation explores the challenges and opportunities of integrating human insights into AI-driven decision-making. While AI excels in pattern recognition and data analysis, it often struggles with context, ethics, and adaptability. Through case studies—including the Bruges parking system, Zillow’s …

This graduation report investigates the creation of an artificial intelligence-based tool for producing HTML Bootstrap code from images and codes description text provided by the user. The goal of this project is to automate the conversion of images and code description text into accurate HTML Bootstrap …

Location data is a sensitive data type that is collected on a wide scale and is easily misused as it can reveal sensitive personal information. Popular and upcoming technologies like AI and IoT devices can play a meaningful role in this as they become more prevalent and integrated into our daily-use …