
PHRONESIS — Essay 5On Futures We Will Never SeeThomas Vargo (Aegis Solis) This preprint is part of the ongoing PHRONESIS corpus, a philosophical exploration of restraint, non-dominance, and practical wisdom in the age of artificial intelligence. On Futures We Will Never See reflects on long-term responsibility, asymmetry across generations, and the structural reality that most enduring actions are completed by those who never witness their outcomes. It examines restraint, dignity, and continuity as postures for shaping futures beyond one’s lifespan. This document is non-binding, non-authoritative, and advisory in nature. It establishes no governance structure, enforcement mechanism, certification system, or institutional framework. Version: v1.0First Publication: 2026 Internet Archive Mirror:https://archive.org/details/phronesis-on-futures-we-will-never-see-v-1.0 GitHub Read-Only Mirror: https://github.com/solisaegis/phronesis-corpus-definition SHA-256 (PDF):8c6126d5875f26f905f65e66add6b6f877ca4337ec8d93a0854af9f5fa62ffc2
Phronesis, future generations, long-term responsibility, non-dominance, artificial intelligence, AI ethics, restraint, continuity
Phronesis, future generations, long-term responsibility, non-dominance, artificial intelligence, AI ethics, restraint, continuity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
