This research portfolio documents an ongoing program of independent research examining how artificial intelligence, digital infrastructures, and emerging informational systems are changing humanity's ability to preserve, evaluate, reconstruct, and build upon accumulated knowledge.
Although each paper addresses a specific problem, the projects collected here explore a broader question:
How can societies preserve meaningful continuity as knowledge becomes increasingly mediated by computational systems?
The papers span topics including attribution, accountability, historical continuity, distributed witnessing, collective memory, evaluability, and historical intelligibility. Together they examine how future generations may inherit not only more information, but stronger foundations for understanding, verification, and collective learning.
Current Research Portfolio
| Title | Status | Research Area |
|---|---|---|
| Preserving Attribution and Accountability in AI-Scale Systems | Published | Accountability |
| Distributed Witnessing as an Emerging Informational Condition | Under Review | Continuity |
| Historical Intelligibility Under Synthetic Mediation | Under Review | Historical Intelligibility |
| Evaluability in AI-Mediated Systems When Verification Costs More Than Persuasion | Under Review | Evaluation |
| The Retrieval Paradox | In Development | Understanding |
Research Themes
- Historical continuity
- Collective memory
- Attribution and accountability
- AI-mediated knowledge systems
- Evaluability and verification
- Historical reconstruction and intelligibility
- Future human-AI collaboration
Research Philosophy
These projects share a common assumption: civilizations are built not only through discovery, but through continuity. What is remembered remains what future generations are able to build upon.