Fitkov-Norris, Elena and Kocheva, Nataliya (2024) Leveraging AI for strategic foresight : unveiling future horizons. In: FBSS Research Conference 2024; 21 Jun 2024, Kingston upon Thames, London, U.K.. (Unpublished)
Abstract
This work reflects on the role of foresight in our rapidly evolving world and the transformative influence of Artificial Intelligence (AI) in enhancing strategic foresight capabilities, guiding decision-makers through an ever-changing landscape to navigate uncertainties and shape the future. It highlights the potential of emerging deep learning AI techniques, such as causal and Generative AI, to enhance traditional foresight approaches by bridging the gap between quantitative and qualitative foresight methods, addressing challenges such as expert bias and data reliability. Causal AI harnesses the power of causal inference to model complex causal relationships and mitigate observational bias in data, equipping decision-makers with robust tools for scenario building. Generative AI and LLMs on the other hand, offer promising capabilities for automated horizon scanning and scenario generation, although the need for human oversight remains Ultimately, AI could empower individuals and organizations to not only anticipate the future but actively shape it.
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