Alan Hevner - Pionier der Gestaltungsorientierten Forschung mit über 40.000 Zitationen für seine einschlägigen Paper - besucht im Juni das ERCIS und hält für die Fakultät am 6. Juni um 10 Uhr s.t. im Schloss einen Vortrag zum Thema "Designing Human-Artificial Intelligence Systems: Research Challenges and Opportunities“. Wir freuen uns über rege Teilnehmer:innen insbesondere auch von Nachwuchswissenschaftler:innen und auf einen anregenden interdisziplinären Austausch zu diesem wichtigen Zukunftsthema der Gestaltung von Mensch-Maschine-Systemen im Zeitalter der künstlichen Intelligenz.

About Alan Hevner:

Alan R. Hevner is a Distinguished University Professor and Eminent Scholar in the School of Information Systems and Management in the Muma College of Business at the University of South Florida. He holds the Citigroup/Hidden River Chair of Distributed Technology. Dr. Hevner's areas of research interest include design science research, information systems development, software engineering, distributed database systems, healthcare systems, and Internet of Things computing.  He has published over 300 research papers with over 40,000 citations. Dr. Hevner received a Ph.D. in Computer Science from Purdue University. He has held faculty positions at the University of Maryland and the University of Minnesota. Dr. Hevner is a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Association for Information Systems (AIS), and a Fellow of IEEE. He is a member of ACM and INFORMS. Additional honors include selection as a Parnas Fellow at Lero, the Irish software research center, a Schoeller Senior Fellow at Friedrich Alexander University in Germany, and the 2018 Distinguished Alumnus award from the Purdue University Computer Science Department. From 2006 to 2009, he served as a program manager at the U.S. National Science Foundation (NSF) in the Computer and Information Science and Engineering (CISE) Directorate.

Abstract:

Artificial intelligence (AI) technologies are disrupting the design, development, and operation of all business applications. Future socio-technical systems will combine design innovations in AI technologies, human behaviors, and the synergistic human-machine trade-offs. New goals and requirements for Human-AI System (HAIS) capabilities and qualities are emerging, whereas the boundaries between human and machine behaviors continue to blur. The goal of this presentation is to identify and investigate the design science research (DSR) challenges facing the field of Information Systems as the demand for human-machine synergies in HAIS surges in all application areas. The design challenges of HAIS are characterized by a taxonomy of eight C’s - composition, complexity, creativity, confidence, controls, conscience, certification, and contribution. By applying a design science research frame to structure and investigate HAIS design, implementation, use, and evolution, a forward-thinking agenda for relevant and rigorous research contributions is proposed. The presentation concludes by examining prior research published in Decision Support Systems that makes contributions to HAIS design science research (DSR). Synergistic interactions among DSR, AI technology design, and human interaction design are used to specify the dimensions for a meta-analysis of the DSS HAIS literature. Observations are made and future research directions for the design of HAIS as solutions for complex decision science problems are proposed.