Reimagining human agency in AI-driven futures: a co-evolutionary scenario framework from aviation

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রকাশিত:European Journal of Futures Research vol. 13, no. 1 (Dec 2025), p. 16
প্রধান লেখক: Navarro-Meneses, Francisco J.
অন্যান্য লেখক: Pablo-Marti, Federico
প্রকাশিত:
Springer Nature B.V.
বিষয়গুলি:
অনলাইন ব্যবহার করুন:Citation/Abstract
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100 1 |a Navarro-Meneses, Francisco J.  |u Nebrija University, School of Economics and Business, Madrid, Spain (GRID:grid.464701.0) (ISNI:0000 0001 0674 2310); Alcala University, Research Group Complex Systems in Social Science, Alcalá de Henares, Spain (GRID:grid.7159.a) (ISNI:0000 0004 1937 0239) 
245 1 |a Reimagining human agency in AI-driven futures: a co-evolutionary scenario framework from aviation 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a This study develops a co-evolutionary foresight framework to explore the future of human roles in AI-integrated aviation. Moving beyond deterministic models of automation, it conceptualizes AI integration as a recursive process shaped by technological innovation, institutional adaptability, and workforce transformation.Drawing on evolutionary economics and socio-technical systems theory, the research integrates three methodological layers: historical case analysis of aviation transitions, theory-informed scenario construction, and a Delphi-based expert validation process with senior aviation stakeholders. The resulting 2×2 scenario matrix outlines four plausible futures: Strategic Co-evolution, Human-Centric Continuity, Latent Obsolescence, and Human Displacement, each reflecting different configurations of AI intensity and institutional responsiveness. Among these, Strategic Co-evolution emerges as the most plausible and desirable path, highlighting the importance of anticipatory governance, hybrid role design, and institutional alignment. In contrast, scenarios marked by institutional inertia or fragmented oversight raise concerns about skill erosion, trust degradation, and systemic risk. The study contributes a transferable methodology for futures research and provides actionable insights for regulators, training institutions, and labor actors. It underscores that the trajectory of AI integration in aviation is not technologically preordained but depends critically on the strategic codesign of institutional safeguards, workforce readiness, and socio-technical trust. The framework offers a model for examining AI transitions in other high-stakes domains, advancing a participatory and empirically grounded approach to exploring human–AI futures. 
610 4 |a Federal Aviation Administration--FAA 
653 |a Futures 
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653 |a Evolution 
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653 |a Adaptation 
653 |a Aviation 
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653 |a Skills 
653 |a Case studies 
653 |a Co-design 
653 |a Regulation 
653 |a Perceptions 
653 |a Artificial intelligence 
653 |a Systems theory 
653 |a Decision making 
653 |a Human agency 
653 |a Recursive functions 
653 |a Workforce 
653 |a Skill development 
653 |a Literature reviews 
653 |a Delphi method 
653 |a Regulated industries 
653 |a Safeguards 
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653 |a Degradation 
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653 |a Obsolescence 
700 1 |a Pablo-Marti, Federico  |u Alcala University, Faculty of Economics, Business and Tourism, Alcalá de Henares, Spain (GRID:grid.7159.a) (ISNI:0000 0004 1937 0239); Alcala University, Research Group Complex Systems in Social Science, Alcalá de Henares, Spain (GRID:grid.7159.a) (ISNI:0000 0004 1937 0239) 
773 0 |t European Journal of Futures Research  |g vol. 13, no. 1 (Dec 2025), p. 16 
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