1. New perspectives for data-supported foresight: The hybrid AI-expert approach
- Author
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Geurts, Amber, Gutknecht, Ralph, Warnke, Philine, Goetheer, Arjen, Schirrmeister, Elna, Bakker, Babette, Meissner, Svetlana, and Publica
- Subjects
strategic foresight ,AI ,framework ,technology management ,hybrid AI‐expert‐based approach ,data supported foresight ,strategic decision making ,trend detection ,innovation management - Abstract
This paper outlines new perspectives for data-supported foresight by combining participatory expert-based futures dialogues with the power of artificial intelligence (AI) in what we call the hybrid AI-expert-based foresight approach. To this end, we present a framework of five typical steps in a fully fledged foresight process ranging from scoping to strategizing and show how AI can be integrated into each of the steps to enable the hybrid AI-expert foresight approach. Building on this, we present experiences gained from two recent research projects of TNO and Fraunhofer ISI that deal with aspects of the hybrid AI-expert foresight approach and give insights into the opportunities and challenges of the new perspectives for data-supported foresight that this approach enables. Finally, we summarize open questions and challenges for future research.
- Published
- 2022