ARDUOUS@ECAI 2025, 28th European Conference on Artificial Intelligence

  • Kristina Yordanova (Chair)
  • Tonkin, E. L. (Chair)
  • Gregory Tourte (Chair)

Activity: Participating in or organising an event typesParticipation in workshop, seminar, course

Description

Chairing event: ARDUOUS: 9th International Workshop on Annotation of Real World Data for Artificial Intelligence Systems

The field of Artificial Intelligence (AI) has seen a rapid development in the last years with a huge increase in the consumption of data and in the recognition of its influence on the developed AI systems. To address this shift from knowledge-based to data-driven AI systems development, the ARDUOUS workshop series explore various topics in data annotation for AI applications. Well-annotated data powers developments in many fields of AI such as training models in machine learning, computer vision, and natural language processing, learning representations in knowledge representation and reasoning or planning and search, and plays an important role in validating knowledge-based systems. Furthermore, ensuring the involvement of the relevant stakeholders increases the fairness, ethics and trust in the annotations and ultimately in the resulting AI systems.

We aim to bring together researchers from the AI community who work on topics addressing the challenges involved in producing reliable and quality-assured annotation. We encourage researchers within the community to share their experience of 1) the role and impact of annotations in designing and validating AI applications, 2) the process of labelling, and the requirements to produce high quality annotations for diverse settings and tasks, 3) innovative tools, interfaces and automated methods for annotating data, 4) methods for standardisation and normalisation in annotation practices, and 5) novel topics and approaches in this field
Period26 Oct 202530 Oct 2025
Event typeWorkshop
LocationItalyShow on map
Degree of RecognitionInternational

Keywords

  • Machine learning
  • Artificial intelligence
  • Data annotation
  • Data labelling
  • Fairness
  • Ethics
  • Trust

Research Groups and Themes

  • TORUS