Decent deepfakes? Professional deepfake developers’ ethical considerations and their governance potential
Abstract Policymakers and societies are grappling with the question of how to respond to deepfakes, i.e., synthetic audio-visual media which is proliferating in all areas of digital life– from politics to pornography. However, debates and research on deepfakes’ impact and governance largely neglect the technology’s sources, namely the developers of the underlying artificial intelligence (AI), and those who provide code or deepfake creation services to others, making the technology widely accessible. These actors…
Professional deepfake developers' ethical values can inform governance measures that directly address developers and providers to curb dangers of synthetic media.
Synthetic audio-visual deepfakes are proliferating across digital life, creating governance challenges for policymakers and societies.
Findings are based on a small qualitative sample of ten expert interviews, limiting generalizability to all developer populations.
Evidence
- Peer-reviewedAI and Ethics2024-09-25
How should this claim be treated?
Truvace Impact Record TRV-2026-0364, v1: “Decent deepfakes? Professional deepfake developers’ ethical considerations and their governance potential.” Truvace, 2026-07-20. /record/TRV-2026-0364 (accessed at citation time). sha256 0b37fa409451ec0f…
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-2026-0364 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.
ace