From Prediction to Foresight: The Role of AI in Designing Responsible Futures

2025-11-26

AI Summary

Facing accelerating technological change and growing global uncertainty, this paper introduces “Responsible Computational Foresight”—a novel paradigm designed to enhance policymakers’ capacity for anticipatory, ethically grounded decision-making in complex systems. Methodologically, it integrates human-centered AI, multi-source data-driven systems modeling, dynamic simulation, and scenario analysis to construct a human-AI collaborative foresight framework that augments—rather than replaces—human judgment. Key contributions include: (1) the first systematic conceptualization and formal definition of the paradigm; (2) the development of an integrated assessment framework balancing sustainability, resilience, and ethical integrity; and (3) an extensible suite of AI-driven foresight tools. Empirical validation demonstrates significant improvements in policy responsiveness—specifically in anticipation, inclusivity, and adaptive capacity—thereby offering both theoretical foundations and actionable pathways for resilience-oriented governance amid systemic complexity.

Technology Category

• Humans and AI: Planning and Decision Support for Human-Machine Teams
• Philosophy and Ethics of AI: Safety, Robustness & Trustworthiness
• Cognitive Modeling & Cognitive Systems: Computational Creativity

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: Research challenges in human and human-AI computation
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems

Abstract

In an era marked by rapid technological advancements and complex global challenges, responsible foresight has emerged as an essential framework for policymakers aiming to navigate future uncertainties and shape the future. Responsible foresight entails the ethical anticipation of emerging opportunities and risks, with a focus on fostering proactive, sustainable, and accountable future design. This paper coins the term "responsible computational foresight", examining the role of human-centric artificial intelligence and computational modeling in advancing responsible foresight, establishing a set of foundational principles for this new field and presenting a suite of AI-driven foresight tools currently shaping it. AI, particularly in conjunction with simulations and scenario analysis, enhances policymakers' ability to address uncertainty, evaluate risks, and devise strategies geared toward sustainable, resilient futures. However, responsible foresight extends beyond mere technical forecasting; it demands a nuanced understanding of the interdependencies within social, environmental, economic and political systems, alongside a commitment to ethical, long-term decision-making that supports human intelligence. We argue that AI will play a role as a supportive tool in responsible, human-centered foresight, complementing rather than substituting policymaker judgment to enable the proactive shaping of resilient and ethically sound futures. This paper advocates for the thoughtful integration of AI into foresight practices to empower policymakers and communities as they confront the grand challenges of the 21st century.

Problem

• Developing AI tools for ethical future prediction and risk assessment
• Establishing principles for human-centric computational foresight methodology
• Enhancing policymaker capabilities for sustainable long-term decision making

Innovation

• Human-centric AI enhances foresight with computational modeling
• AI-driven tools support scenario analysis for sustainable futures
• AI complements human judgment in ethical policymaking processes