Information Access and Artificial Intelligence (IAI)

About us

Our current projects can be broadly classified into the following areas:

• Semantic search and intelligent assistance (entities and knowledge graphs, semistructured data retrieval, tables, task-based search, and conversational search and recommendation)
• Evaluation methodology (living labs and simulation)
• Neural IR (representation learning, learning from sparsely labeled data)
• Web mining (text and graph mining with applications to social media and news media, scalability, fake news detection, and fact checking)
• Explainability and transparency

We mostly deal with big (text, semi-structured, and graph) data. However, it is not just the scale of data that intrigues us. Users interact with systems and we can observe those interactions. Thus, we are also interested in the interaction with AI-understanding how people and machine engage in conversations. 

We are at the forefront of the international research scene and publish regularly at top conferences, such as SIGIR, WWW, WSDM, CIKM, and ECIR. We hosted the 10th International Conference on the Theory of Information Retrieval (ICTIR) in 2020 and will be hosting the 44th European Conference on Information Retrieval (ECIR) in 2022.

IAI is part of the UiS artificial intelligence initiative, Stavanger AI Lab.