Transparency
Audit Trail
Produces a dated record of what was done to a system, its data or its outputs, so a third party can reconstruct it later.
7 techniques
7 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Algorithm Review Boards | Process | Architecture/model Agnostic Requirements/black Box | Any | An algorithm review board, also called an AI ethics board or AI review board, is a standing group from different... | ||
| Runtime Monitoring and Circuit Breakers | Algorithmic | Architecture/model Agnostic Requirements/black Box | Any | Runtime monitoring and circuit breakers observe a deployed AI service and restrict model calls when configured signals... | ||
| MLflow Experiment Tracking | Process | Architecture/model Agnostic Requirements/black Box | Any | MLflow Tracking is the part of the open-source MLflow platform that records each run of a machine learning training... | ||
| Data Version Control | Process | Architecture/model Agnostic Requirements/black Box | Any | Data Version Control (DVC) is an open-source tool that records which version of a dataset or model was used at each... | ||
| API Usage Pattern Monitoring | Algorithmic | Architecture/model Agnostic Requirements/black Box | Any | API usage pattern monitoring examines how each account uses a deployed model's API, to catch misuse that no single... | ||
| Machine Unlearning | Algorithmic | Architecture/model Agnostic Architecture/neural Networks +2 | Any | Machine unlearning removes the influence of specific training records from a trained model, so that the model behaves as... | ||
| C2PA Content Credentials | Algorithmic | Architecture/model Agnostic Paradigm/generative +1 | Image Text | C2PA Content Credentials attach a signed provenance record, called a manifest, to a media file, so that whoever receives... |
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