cimple project full details
Champion:
Harith Alani
KMi Director
Participant(s):Lara Piccolo, Tracie Farrell, Ali Tavakoli
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CIMPLE
Countering Creative Information Manipulation with Explainable AI
CIMPLE aims to experiment with innovative social and knowledge-driven AI explanations, and to use computational creativity techniques to generate powerful, engaging, and easily and quicky understandable explanations of rather complex AI decisions and behaviour. These explanations will be tested in the domain of detection and tracking of manipulated information, taking into account social, psychological and technical explainability needs and requirements. Covid-19, and climate change, are the main two use cases to be investigated.
Partners
- EURECOM
- INESC-ID
- University of Economics
- Prague
- webLyzard technology
News
29 Oct 2026
23 Oct 2026
22 Oct 2026
07 Oct 2026
05 Oct 2026
Burel, G., Mensio, M., Peskine, Y., Troncy, R., Papotti, P. and Alani, H. (2025). CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks. In: ISWC 2024, 23rd International Semantic Web Conference, 11-15 Nov 2024, Baltimore, Maryland, USA. https://oro.open.ac.uk/101150/.
Tavakoli, M., Alani, H. and Burel, G. (2023). On the Readability of Misinformation in Comparison to the Truth. In: Text2Story 2023, 02/04/2023, Ireland. https://oro.open.ac.uk/88556/.
