Goal
The objective of this challenge is to highlight your expertise, skills and experience in applying Explainable AI (XAI) techniques to a “black-box” AI model, so that the predictions of the model can be understood, improved or challenged by the users interacting with it or who are impacted by the model.
Different user personas can be defined by the participants, each of them with a distinctive objective or intent for explainability.
Participants will also need to provide for how the different explanations can be evaluated by these personas and conduct an evaluation of their explanation strategies. These evaluations can be automated or assessed manually by a survey performed on a users group.
More information available on the challenge Website: https://isee4xai.com/xcbr_challenge_2022/
Challenge Organising Committee
Belén Díaz-Agudo
Bruno Fleisch
David Leake
Anne Liret
Kyle Martin
Juan A. Recio García
Anjana Wijekoon
