From Prediction to Foresight: The Role of AI in Designing Responsible Futures
Maria Perez-Ortiz

TL;DR
This paper explores how AI can support responsible foresight by enhancing policymakers' ability to anticipate and shape sustainable futures through ethical, human-centered computational modeling and scenario analysis.
Contribution
It introduces the concept of responsible computational foresight, establishing foundational principles and presenting AI-driven tools for ethical future planning.
Findings
AI enhances scenario analysis for better risk evaluation
Responsible foresight requires integrating social, environmental, and ethical considerations
AI supports, rather than replaces, human judgment in policymaking
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…
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Taxonomy
TopicsInnovation, Sustainability, Human-Machine Systems · Sustainability and Climate Change Governance · Ethics and Social Impacts of AI
