New methods for deprecating artificial intelligence systems will preserve history and facilitate research
AI developers and policy makers need to devise methods of commercial model deprecation that balance developers’ reasonable interest in restricting access to outdated models with the value of preserving technological developments and enabling ongoing scientific research across versions.
Authors
- Tim Johnson (ORCID: https://orcid.org/0000-0003-3014-9722)
- Nick Obradovich (ORCID: https://orcid.org/0000-0003-1127-2231)
Institutions
- Atkins (United States) (US)
- Willamette University (US)
- Laureate Institute for Brain Research (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1038/s41467-024-54758-1
- Citations
- 1
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.35