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

Kiran Parmar

Kiran Parmar

Harith Alani

Kiran Parmar