The International Conference on Advanced Information Systems Engineering (CAiSE) traditionally deals with new research topics and controversial positions on information systems engineering. This year, the conference will emphasize on the theme Responsible Information Systems.

Dr. Andreas Metzger from the Software Systems Engineering group will give two presentations at CAiSE. First, he will give the keynote speech "Data-diven AI for Self-adaptive Information Systems" at the FAISE Workshop (Flexible Advanced Information Systems). You can find more information in the abstract below. On the last day of the conference he will present the results of current research projects of the SSE group. The paper is entitled "Proactive Process Adaptation using Deep Learning Ensembles".

Abstract

Data-driven AI for Self-adaptive Information Systems

Artificial Intelligence (AI) offers tremendous potential to benefit citizens, economy and society. From an industrial point of view, AI means algorithm-based and data-driven information systems that provide machines and people with digital capabilities such as perception, reasoning, learning and even autonomous decision making. AI thereby facilitates information systems to draw conclusions, learn, adapt and adjust parameters accordingly. With recent advances in special-purpose hardware and machine learning algorithms, AI is capable of capturing more and more complex problems. This talk will explore the opportunities that AI offers in building self-adaptive information systems. On the one hand, it will present how ensembles of deep neural networks support proactive decision making for business process execution. On the other hand, it will present how reinforcement learning may be employed to build self-learning information systems. These systems learn from every interaction with their environment in order to dynamically improve themselves during operations. The talk closes with a critical look at the challenges entailed in delivering responsible AI-based information systems.