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EDL-AI 2020 : Explainable Deep Learning- AI

Milan

Event Date:	September 18, 2020 - September 18, 2020
Submission Deadline:	June 15, 2020
Notification of Acceptance:	July 15, 2020
Camera Ready Version Due:	July 30, 2020

About

The recent focus of AI and Pattern Recognition communities on the supervised learning approaches, and particularly to Deep Learning / AI, resulted in considerable increase of performance of Pattern Recognition and AI systems, but also raised the question of the trustfulness and explainability of their predictions for decision-making. Instead of developing and using Deep NNs as black boxes and adapting known architectures to variety of problems, the goal of explainable Deep Learning / AI is to propose methods to “understand” and “explain” how the these systems produce their decisions. AI systems may produce errors, can exhibit overt or subtle bias, may be sensitive to noise in the data, and often lack technical and judicial transparency and explainability. These shortcomings raise many ethical and policy concerns that impede wider adoption of this potentially very beneficial technology. In various Pattern Recognition and AI application domains such as health, ecology, autonomous driving cars, security, culture it is mandatory to understand how the predictions are correlated with the information perception and decision making by the experts. The goals of the workshop are to bring together research community which is working on the question of improving explainability of AI and Pattern Recognition algorithms and systems. The Workshop is a part of ICPR'2020 and supported by research project XAI-LABRI

Call for Papers

Topics

“Sensing” or “salient features” of Neural Networks and AI systems - explanation of which features for a given configuration yield predictions both in spatial (images) and temporal (time-series, video) data;
Attention mechanisms in Deep Neural Networks and their explanation;
For temporal data, the explanation of which features and at what time are the most prominent for the prediction and what are the time intervals when the contribution of each data is important;
How the explanation can help on making Deep learning architectures more sparse (pruning) and light-weight;
When using multimodal data how the prediction in data streams are correlated and explain each other;
Automatic generation of explanations / justifications of algorithms and systems’ decisions;
Decisional uncertainly and explicability
Evaluation of the explanations generated by Deep Learning and other AI systems.

Summary

EDL-AI 2020 : Explainable Deep Learning- AI will take place in Milan. It’s a 1 day event starting on Sep 18, 2020 (Friday) and will be winded up on Sep 18, 2020 (Friday).

EDL-AI 2020 falls under the following areas: MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, etc. Submissions for this Workshop can be made by Jun 15, 2020. Authors can expect the result of submission by Jul 15, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 30, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the EDL-AI 2020

Short Name: EDL-AI 2020
Full Name: Explainable Deep Learning- AI
Timing: 09:00 AM-06:00 PM (expected)
Fees: Check the official website of EDL-AI 2020
Event Type: Workshop
Website Link: https://edl-ai-icpr.labri.fr/
Location/Address: Milan

Credits and Sources

[1] EDL-AI 2020 : Explainable Deep Learning- AI