Activity: Participating in or organising an event types › Participation 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