IJCNN 2019, Budapest, Hungary
Special Session on Explainable Machine Learning
(S16)

Aims & Scope
It is widely recognised that the use by people of intelligent tools is one of the key drivers of technological development. This has been termed Augmented Intelligence and is a critical element in second generation Artificial Intelligence (AI), sometimes called AI2.0.  AI has radically increased detection accuracy for complex data from the clinic to self-driving cars, but often produces black-boxes that are difficult to understand by users and have unknown failure modes. 
Augmented Intelligence will help designers make better and safer decision systems by identifying problems with the data, such as artefacts resulting in bias, but especially will help to integrate analytical models into rational thinking, which involves more than largely empirical performance measures. Hazard and Operability studies, in particular, are crucial in safety-related applications and require auditable tests of verification and validation for software systems.
This special session will report methodologies and applications to explain the operation of machine learning models. It will focus on recent approaches to making the operation of machine learning systems easier to understand such that users can usefully query the operation of the model, changing any aspect to ensure safety in operational environments.
Topics that are of interest to this session include but are not limited to:
•    Interpretable Machine Learning Models
•    Visualisation of Data and Models
•    Query Interfaces for Deep Learning
•    Interactive User Interfaces
•    Challenging applications of Active and Transfer learning
•    Relevance Learning and Metric Adaptation
•    Practical Applications of Interpretable Machine Learning
•    Deep Neural Reasoning


Important Dates
Paper submission: December 15, 2018
Paper decision notification: January 30, 2019


Session Chairs
Paulo J.G. Lisboa (P.J.Lisboa@ljmu.ac.uk , Liverpool John Moores University, U.K.)
José D. Martín-Guerrero (Universitat de Valencia, Spain)
Davide Bacciu (Universitá degli Studi di Pisa)
Alfredo Vellido (Universitat Politčcnica de Catalunya, Spain)