Hidden Technical Debt in Machine Learning Systems
Creator not supplied; see original source.
Google Research publication page for Hidden Technical Debt in Machine Learning Systems (NeurIPS 2015).
- Level
- Advanced
- Models
- Category
- Jailbreaking and red teaming
- Tags
- incidents-failure-cases, safety-security-interpretability
- Source date
- date not stated
- Added
- 2026-10-18
- Last verified
- 2026-10-18
- Status
- ok
- Prerequisites
- source
- Subcategory
- safety and alignment evals
- Region
- unknown
- Original language
- en
- Access
- free
- Resource reuse
- unknown: Not supplied; no reuse grant asserted. Facet definitions
- Verification basis
- Supplier-reported live check; no independent HTTP verification by this site.
- Access evidence
- Supplier-approved free inventory; not independently verified by this site.
- Source domain
- Safety, security & interpretability
- Source subdomain
- incidents & failure cases
- Supplier region label
- United States
Summary in our own words. Rights remain with the original creator. Credit and correction policy.