AI‐assisted scenario generation for strategic planning

Author:

Spaniol Matthew J.1ORCID,Rowland Nicholas J.2ORCID

Affiliation:

1. Department of People and Technology Roskilde University Roskilde Denmark

2. Penn State Altoona Altoona Pennsylvania USA

Abstract

AbstractThis “reflections from practice” piece explores some of the implications of emerging, artificially intelligent tools for the futures and foresight prac‐ademic community. The authors provide background on these emerging, artificially intelligent tools, and explore, with special emphasis on scenarios, a specific tool named “Chat Generative Pre‐trained Transformer” (hereafter, ChatGPT). The authors examine the utility of scenarios generated by artificial intelligence (AI) and explore whether or not the futures and foresight prac‐ademic community should selectively embrace advances in AI to assist in the generation of scenarios. In particular, the authors will consider (1) the utility of using scenarios generated completely by AI, (2) whether what is produced, in fact, constitute scenarios, based on conventional definitions, and (3) assess the utility of using AI to assist in the production of scenarios. At this point in time, artificially intelligent tools can now generate numerous scenarios on seemingly any topic at essentially zero cost to the user. Still, the authors insist that the utility of those scenarios is largely predicated on the user's ability to coax the appropriate “raw material” from the artificially intelligent bot, which implicates, the authors contend, that such bots can usefully provide base material for the development of scenarios but are unlikely to fully eclipse scenarists in the production of scenarios. Additionally, the authors recommend that the futures and foresight prac‐ademic community pay especially close attention to artificially intelligent tools for novel insights with regard to the differences in human cognition and, in this case, the logic of large language model outputs.

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference25 articles.

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2. Au C. Winkler T. J. &Paul H.(2022).Towards a generation of artificially intelligent strategy Tools: The SWOT bot. ECIS 2022 Research‐in‐Progress Papers no. 63. https://aisel.aisnet.org/ecis2022_rip/63/

3. Budzianowski P. &Vulić I.(2019). Hello it's GPT‐2‐‐how can I help you? towards the use of pretrained language models for task‐oriented dialogue systems. arXiv:1907.05774.

4. Scenario planning: Pierre Wack’s hidden messages

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