Collaborative Foresight in the Age of AI: A Framework for Evolving Human-AI Dynamics in Strategic Decision-Making and Futures Research

Abstract

This study explores the transformative potential of AI in futures research and strategic decisionmaking. Addressing the challenge of decision myopia in the innovation economy, it proposes the Foresight-Driven Innovation Framework as a novel theoretical contribution for enhancing strategic planning through human-AI collaboration. This exploratory research investigates the central question: "To what extent can a multi-agent AI system, operating within the proposed FDI framework, augment human capabilities in the process of strategic foresight and long-term planning?" The study provides an overview of current futures research practices, delves into relevant methodologies, and examines the evolution of human decision-making in this context. It introduces a collaborative foresight system based on the FDI Framework, outlining a technical architecture for data processing, scenario exploration, and knowledge management, while considering agentic AI and multimodal engagement to address information overload. Ethical considerations crucial for human-AI collaboration, such as transparency, explainability, and maintaining human agency, are thoroughly addressed. The study concludes by exploring future directions and suggesting a pilot implementation for the proposed FDI framework to empirically validate its potential in shaping more sustainable and desirable futures. This study contributes to the growing field of AI-enhanced strategic foresight, offering insights into the synergies between human expertise and artificial intelligence in navigating complex, long-term challenges through a newly proposed framework and a pathway for future empirical investigation.