Preface to 2nd Workshop on Artificial Intelligence and Model-Driven Engineering (MDE Intelligence 2020)

Model-driven engineering (MDE) and artificial intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-pollination and collaboration. There are at least two ways in which such integration—which we call MDE Intelligence—can manifest: (1) MDE can benefit from integrating AI concepts and ideas to increase its power: flexibility, user experience, quality, etc. (Artificial Intelligence for MDE). For example, using model transformations through search-based approaches, or by increasing the ability to abstract from partially formed, manual sketches into fully-shaped and formally specified meta-models and editors. (2) AI is software, and as such, it can benefit from integrating concepts and ideas from MDE that have been proven to improve software development (MDE for Artificial Intelligence). For example, using domain-specific languages allows domain experts to directly express and manipulate their problems while providing an auditable conversion pipeline. Together this can improve trust in and safety of AI technologies. Similarly, MDE technologies can contribute to the goal of explainable AI.