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New perspectives for data‐supported foresight: The hybrid AI‐expert approach

Author

Listed:
  • Amber Geurts
  • Ralph Gutknecht
  • Philine Warnke
  • Arjen Goetheer
  • Elna Schirrmeister
  • Babette Bakker
  • Svetlana Meissner

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.

Suggested Citation

  • Amber Geurts & Ralph Gutknecht & Philine Warnke & Arjen Goetheer & Elna Schirrmeister & Babette Bakker & Svetlana Meissner, 2022. "New perspectives for data‐supported foresight: The hybrid AI‐expert approach," Futures & Foresight Science, John Wiley & Sons, vol. 4(1), March.
    • Handle: RePEc:wly:fufsci:v:4:y:2022:i:1:n:e99
    DOI: 10.1002/ffo2.99
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