CFE Research Seminar | Human-Machine Interaction Patterns for Autonomous Processes

Join us for the second CFE Research Seminar for 2024 as we delve into the cutting-edge realm of Human-Machine Interaction Patterns for Autonomous Processes with Prof Christian Janiesch. Christian Janiesch is Full Professor of Enterprise Computing at TU Dortmund University.

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Date: Monday 25th March 2024 | 12:00-1:00pm including a light lunch

Venue: Z730, Level 7, Z Block Gardens Point

Register: future.enterprise@qut.edu.au

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Seminar abstract

Traditionally, business process management has automated work processes in a handcrafted and explicit manner through process models and decision tables. Robotic process automation has enabled agentic lightweight automation with software robots mimicking human users. Despite these technological advances, certain areas have remained off-limits for automation due to their complexity and required cognitive abilities. In this context, intelligent systems based on self-learned analytical models have become increasingly versatile to automate work previously not automatable. However, with the shift from deterministic to probabilistic automation, the concept of process autonomy needs to be revisited. That is, a key issue in the development of intelligent automation is not only applying the appropriate level of autonomy, which ranges from human control to fully autonomous systems, but also determining how human-machine interaction should be fathomed in a reproducible and standardized manner. Process patterns can provide a means to guide this interaction by ensuring balance between maximized automation efficiency and retainment of human control as well as – inversely – machine-in-the-loop safety. The talk reports on ongoing work on process autonomy and process patterns for human-machine interaction based on previously established levels of autonomy.

About Professor Christian Janiesch

Christian Janiesch is Full Professor of Enterprise Computing at TU Dortmund University where he is responsible for the department of computer science’s teaching in information systems. His research focuses on intelligent systems at the intersection of business process management and artificial intelligence with current research projects on process patterns and AI-as-a-service platforms. Among others, he is on the BPM Department Editorial Board of BISE journal. Further, he has authored about 200 scholarly publications including some really good journal articles and currently amasses more than 1500 citations a year.