From Prediction to Foresight: The Role of AI in Designing Responsible Futures
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 15 of its 52 references that are in the map. First posted on arXiv 26 Nov 2025.
Builds on
15 of 52 references.
References · 15
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- 2024ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilitiescited by 110
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- 2022Forecasting Future World Events with Neural Networkscited by 63
- 2024Large Language Model for Participatory Urban Planningcited by 40
- 2023DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarioscited by 34
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- 2023Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberationcited by 17
- 2024Can Language Models Use Forecasting Strategies?cited by 13
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Citing papers per year: 2026: 2.
2 papers.