Governing the Future Commons: large Toward an Alternative Social Operating System for Technological Progress
Abstract
Technological progress increasingly shapes long-term social and environmental conditions, yet existing governance frameworks remain structurally oriented toward short-term accountability, finality, and ownership. Under conditions of deep uncertainty and planetary constraint, these orientations limit the capacity of societies to remain responsible for the futures their innovations bring into being. This paper builds on the concept of the future commons, which frames the future not as an asset to be valued or traded, but as a shared condition irreversibly affected by present actions. Rather than further developing its normative justification, the paper focuses on institutional design, asking how governance might operate once revisability, responsibility retention, and temporal asymmetry are treated as foundational constraints. To this end, the paper proposes a prototype institutional architecture organized around recursive evaluation, long-term accountability, and correction rather than final adjudication. It introduces a procedural definition of malice as systematic resistance to correction, enabling governance mechanisms that distinguish failure from harmful non-engagement under uncertainty. The role of artificial intelligence is examined as an auxiliary governance agent, supporting evaluation and re-assessment without displacing human or institutional responsibility. By articulating an alternative social operating system that operates alongside existing states and markets, this work delineates a design space for governing technological progress without collapsing uncertainty into premature closure. The framework is offered not as a finalized solution, but as an open foundation for further collaborative development across disciplines and institutional contexts.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Sustainability and Climate Change Governance
Neuroethics
Human Enhancement
Biomedical Innovations
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026
- Document type
- Preprint