The AAAI-18 Workshop on
Engineering Dependable and Secure
Machine Learning Systems
February 3, 2018
held at the AAAI Conference on Artificial Intelligence (AAAI-18)
held at the AAAI Conference on Artificial Intelligence (AAAI-18)
This workshop solicits original contributions addressing problems and solutions related to dependability, quality assurance and security of ML systems.
Businesses and the society at large increasingly rely on machine learning solutions. Similarly to other software systems, ML systems must meet their requirements. Indeed, different system types may introduce different dependability and quality requirements. For instance, an autonomous car may require a different level of trust than an investment recommendation system.
However, meeting reliability, quality and security requirements in the context of ML requires new methodologies and tools:
In providing solutions for the above problems, the workshop aims to combine several disciplines, including ML, software engineering (with emphasis on quality), security, and algorithmic game theory. It also aims to promote a discourse between academia and industry in a quest for well-founded practical solutions.