3rd International Conference on AI Engineering – Software Engineering for AI (CAIN)

The goal of the CAIN Conference Series is to bring together researchers and practitioners in software engineering, data science, and artificial intelligence (AI) as part of a growing community that is targeting the challenges of Software Engineering for AI-enabled systems.

In development and implementation of AI-enabled systems — defined as systems that contain AI components — experience has shown that the main challenge is not to develop the best models or algorithms but rather to provide support for the entire system life cycle – from business idea, through data collection, model training, system design and development, product deployment and operation, and eventually its maintenance and evolution. Therefore there is a clear need to advance the field of Software Engineering for AI. While there are many well-established venues in the fields of AI and machine learning (ML), CAIN is unique in that it takes a systems and life cycle perspective on AI engineering.

CAIN has the following goals for the next few years.

Identify the main challenges in software engineering for AI systems, considering industrial needs and experience.
Create a roadmap that captures research directions in AI engineering in relation to AI-enabled systems life cycle and the software engineering practices to support it.
Contribute to a better understanding of the differences between data science and software engineering approaches such that practices from both fields can come together to solve practical problems in AI engineering.
Identify industrial challenges in building and using AI-enabled systems and contribute to solving them.
Build a thriving community of software engineering, data science, and AI practitioners and researchers
CAIN’24 will have all sessions in a single track:

Invited keynotes and panels.
Presentation of accepted research and experience papers.
Industry talks.
Poster presentations