A Report on the First Workshop on Software Engineering for Artificial Intelligence (SE4AI 2020)

With advancement in technology-driven decision making, the software-intensive systems for decisions have become more robust, dynamic, adaptive, context-aware, dependable. Architectural designs of such systems crave for new approaches where the data-driven decision making has to be incorporated in the solution. Methods for recommendation mechanism, prediction of operation failures, dealing with unsafe conditions etc are going to be part of the solution itself. Integrating such features to conceive an intelligent system that will directly influence the business solution is mostly appreciated. This would not have been possible without the direct interference of Artificial Intelligence which has been a standard procedure of industrial repertoire since 1980s. The direct impact of AI on social and economic life has been been felt mostly in last decade (since 2007) with the advent of smart phone, which contribute largely to "big data". The era of "big data" has witnessed the efficacy of Machine Learning and there is a need of the hour to combine data-driven machine intelligence with human intelligence (insights and domain knowledge) to effectively make the software development (requirement, design, testing, deployment and operation management) intelligent. The research community has shown a keen interest in this emerging field. In this report, we present a pre-organization summary of the workshop to be held on February 27, 2020, at IIIT Jabbalpur (India), co-located with the 13th Innovations in Software Engineering Conference (ISEC 2020).