aceThe making of digital ghosts: designing ethical AI afterlives
Abstract The rapid proliferation of AI-mediated digital afterlife technologies, from chatbots trained on personal data to voice clones and posthumous avatars, has generated a substantial body of ethical literature identifying the moral risks of posthumous simulation. Yet this growing consensus has not been matched by frameworks capable of translating ethical principles into operational design constraints. This paper addresses that gap from the perspective of ethical design and governance. We introduce a nine-dim…
Authors derive a two-tier structure of auditable design constraints that operationalizes ethical principles for AI-mediated afterlife systems, providing a concrete bridge to governance.
Rapid proliferation of AI-mediated digital afterlife technologies including chatbots trained on personal data, voice clones and posthumous avatars has created moral risks of posthumous simulation without operational governance constraints.
Evidence
- Peer-reviewedEthics and Information Technology2026-06-15
How should this claim be treated?
Truvace Impact Record TRV-2026-0153, v1: “The making of digital ghosts: designing ethical AI afterlives.” Truvace, 2026-07-13. /record/TRV-2026-0153 (accessed at citation time). sha256 755122fae35536c5…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0153 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.