PhilArchive
open access
Who Certifies the Twin? Institutional Contenders for Trust in the Digital-Twin Economy of Drug Discovery
Digital twins in medicine are acquiring standards vocabulary before they have survived contact with a regulator, an insurer, or a plaintiff's attorney, an ordering that inverts how standards normally form. This perspective examines four institutional contenders for the role of certifying trustworthy digital twins in drug discovery: standards bodies building on ISO 23247, regulators operating through the FDA's AI credibility framework and the joint NSF–NIH–FDA FDT-BioTech initiative, industry practice consolidating around ISPE's Validation 4.0, and the data owners, genomic sequencers, modeling platforms, device makers, EHR vendors, who control what a twin can be built from in the first place. None is positioned to win outright. Drawing a parallel to the unresolved question of website trust in the mid-1990s, this piece argues that the current framing mistakes trust for a certificate a single body can issue, when it is more likely to be settled the way the analogous question was settled then: by whoever controls the infrastructure, not by whoever writes the standard. Terminology will likely be resolved first, by consortia; liability, the harder question, will be resolved second, by courts, one bad outcome at a time. What looks like a standards race is, at present, a liability vacuum wearing the vocabulary of standardization.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CAIS Prototype Roadmap v1.0 — Execution Order and Participation Guide#111872
- Infrastructure Is Not Truth Corrigibility, Epistemic Infrastructure, and the Preservation of Error Correction#695022
- The Physics as a metric of certainty for patients awaiting bioartificial organ transplants#716376
- OmniMed-Jev: Calibrating LVLM Confidence for Trustworthy Medical Multimodal Decisions via System One#1155316
- Records Management Theory's Dilemma: What is a Record?#733883
Record · ID 691491
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive