August 2024

Alzheimer’s Diagnosis: Multimodal Explainable AI for Early Detection and Personalized Care

Nadeem Qazi Senior Lecturer in AI machine learning at University of East London,UK Alzheimer’s disease (AD) is becoming more common, emphasizing the need for early detection and prediction to improve patient outcomes. Current diagnostic methods are often too late, missing the opportunity for early intervention. This research seeks to develop advanced explainable AI models that

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Exploring Prosocial Dynamics in Child-Robot Interactions: Adaptation, Measurement, and Trust

Ana Isabel Caniço Neto Assistant Researcher at the University of Lisbon Social robots are increasingly finding application in diverse settings, including our homes and schools, thus exposing children to interactions with multiple robots individually or in groups. Understanding how to design robots that can effectively interact and cooperate with children in these hybrid groups, in

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Types of Contamination in AI Evaluation: Reasoning and Triangulation

Behzad Mehrbakhsh PhD student at Universitat Politècnica de València A comprehensive and accurate evaluation of AI systems is indispensable for advancing the field and fostering a trustworthy AI ecosystem. AI evaluation results have a significant impact on both academic research and industrial applications, ultimately determining which products or services are deemed effective, safe and reliable

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TAILOR Selected paper: July 2024

Every month, we want to acknowledge some valuable TAILOR papers, selected among the papers published by scientists belonging to our network by TAILOR principal investigator Fredrik Heintz.The list of the most valuable papers gathers contributions from different TAILOR partners, each providing valuable insights on different topics related to TrustworthyAI.Stay tuned for other valuable insights and

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