AI-BASED INFORMATION SYSTEMS
Artificial intelligence (AI) is about to bring fundamental changes in our society and economy, touching on how organizations make decisions, deliver services, and evaluate opportunities. Given the breadth of their potential reach across companies of different sizes and in different industries, Erik Brynjolfsson and Andrew McAfee of MIT even speak of AI as “the most important general-purpose technology of our era” (Brynjolfsson and McAfee 2017, p. 2). Today, AI applications in most of the cases are based upon machine learning algorithms, whereby supervised learning, in particular, has become established in practice.
In this editorial preface to the Business & Information Systems Engineering Journal special issue on AI, we provide an overview of papers and articulate an agenda for future research. We offer directions for research on:
- AI, Identity, and Sociotechnical Systems,
- AI, Bias, and Data,
- AI, the Uncanny Valley, and the Singularity; and,
- AI and Ethics.
There are many more that we lacked room to integrate into this special issue, e.g. about the ethics of design of designers, and of how governments use AI. We look forward to seeing how the next wave of AI researchers address these questions as they seek to build a better society through the judicious integration of AI into individuals’ lives and the organizations in which they work.
The special issue was co-edited by Peter Buxman (TU-Darmstadt), and Thomas Hess (Ludwig Maximilian University) with editorial assistance from Anne Zöll (TU-Darmstadt).
Recommended Citation: Buxmann, P., Hess, T., and Thatcher, J.B. (2019) “AI-Based Information Systems: A Call for Research Contributions,” Business & Information Systems Engineering. 61(4): 545-547.
https://doi.org/10.1007/s12599-019-00606-2