The 1st Workshop on Software Quality Assurance for Artificial Intelligence (SQA4AI 2022)
Home page: https://sqa4ai.github.io/sqa4ai2022/
Artificial Intelligence (AI) is getting more and more popular, being adopted in a large number of applications and technologies we use on a daily basis. A large number of AI-enabled applications are produced by developers without proper training on software quality practices or processes, and in general, lack state-of-the-art software engineering processes. An AI-enabled system is a software-based system that comprises AI components besides traditional software components. As any software system, AI-enabled systems require attention to software quality assurance (SQA) in general and code quality in particular. Current development processes, and in particular agile development models, enable companies to decide on the technologies to adopt in their system in a later stage. Therefore, it is hard to anticipate if a system, or if a data pipeline used to develop AI will produce high-quality models. The main reason is due to the fact that the AI engineer profession was born very recently, and currently there is a very limited number of training or guidelines on issues (such as code quality or testing) for AI and applications using AI code. According to preliminary studies, developers' training is one of the biggest lacks in software quality assurance for AI, which usually brings several issues related to low quality of AI code as well as low long-term maintenance. Moreover, the software quality of AI-enabled system is often poorly tested and of very low quality.
The aim of the workshop is to bring together researchers and practitioners from software quality and AI. As an outcome, we would like to build up a community that will target the new challenges emerging in both domains creating fruitful synergies.
Topics of interest include, but are not limited to:
- Best practices and experiences on training non software engineering experts on quality assurance for AI.
- Software quality aspect related to integration of AI-based components.
- The relationship between software quality and system as well as data quality for AI-based systems.
- Techniques and tools on software quality for AI.
- Testing AI-based systems.
- Paper submission deadline: December 17, 2021 AoE
- Notifications: January 7, 2022
- Camera Ready: January 12, 2022