General
Documentation and Records
Techniques that keep an inspectable record of what an AI system and its data are, how they were built and what changed.
5 techniques
5 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Model Cards | Documentation | Architecture/model Agnostic Requirements/black Box | Any | A model card is a short structured document published with a trained model, stating what the model is for and what it... | ||
| Datasheets for Datasets | Documentation | Architecture/model Agnostic Requirements/black Box | Any | A datasheet for a dataset is a short document that accompanies the dataset and answers a set of questions about it, in... | ||
| 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... | ||
| AI Incident Reporting with the OECD Common Reporting Framework | Documentation | Architecture/model Agnostic Requirements/black Box | Any | AI incident reporting with the OECD common reporting framework records each event in which an AI system caused harm, or... |
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